Journal articles on the topic 'Wireless communication systems – Data processing'
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1
Zhang, Shu Qin, Yan Cui, Zhi Yong Dong, and Yue Jun Dong. "A Communication Framework for WSN Based Data Collection Applications." Applied Mechanics and Materials 40-41 (November 2010): 482–87. http://dx.doi.org/10.4028/www.scientific.net/amm.40-41.482.
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Wireless sensor networks (WSNs) have emerged as an effective solution for some data collection situations. However, owing to combining massively distributed data processing on embedded devices with ad-hoc communication over the wireless medium, WSNs are a challenging domain for application development. In this paper, a communication framework for data collection applications is presented. It provides an adaptive data transport protocol, multi-application running environment, nodes binding mechanisms, which facilitate the development of application systems, and reduces the cost of design and maintain.
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Liang, Ye. "Big Data Storage Method in Wireless Communication Environment." Advanced Materials Research 756-759 (September 2013): 899–904. http://dx.doi.org/10.4028/www.scientific.net/amr.756-759.899.
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Big data phenomenon refers to the practice of collection and processing of very large data sets and associated systems and algorithms used to analyze these massive data sets. Big data service is very attractive in the field of wireless communication environment, especially when we face the spatial applications, which are typical applications of big data. Because of the complexity to ingest, store and analyze geographical information data, this paper reflects on a few of the technical problems presented by the exploration of big data, and puts forward an effective storage method in wireless communication environment, which is based on the measurement of moving regularity through proposing three key techniques: partition technique, index technique and prefetch technique. Experimental results show that the performance of big data storage method using these new techniques is better than the other storage methods on managing a great capacity of big data in wireless communication environment.
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Guo, Zhiqi, Guangkun Jiang, and Jiacong Zhao. "Data Processing Method of Distributed Parallel Database System Based on Wireless Network." Wireless Communications and Mobile Computing 2022 (March 31, 2022): 1–11. http://dx.doi.org/10.1155/2022/2366262.
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With the development of society and the arrival of the information age, data processing has become more and more complex, so people need to manage data systems through wireless communication, and distributed systems can effectively improve data analysis, so this paper is based on wireless communication. Distributed database systems are studied. With the rapid development of database systems, how to effectively obtain useful information about massive data has gradually become an important research problem of/with the field of data management. The purpose of this paper is to study how to research the data processing of distributed parallel database system based on wireless network. This paper puts forward the basic concepts of wireless network and distributed parallel database system and proposes a clustering analysis algorithm. The preimproved clustering analysis and the improved distributed parallel clustering analysis are described and compared in detail. From the data in the figure in the experimental part of the text, it can be seen that the efficiency of the database system before the improvement is the lowest at 41% and the highest at 58%. The efficiency of the improved distributed database system is at least 65%, and the highest are 95%. It can be seen that the efficiency of the improved distributed database system is much higher than that of the preimproved database system. So it is very feasible to use the distributed database system to process data.
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Surya, S., Sumeet Gupta, Abolfazl Mehbodniya, Jeidy Panduro-Ramirez, Prabhakara Rao Kapula, Tanweer Alam, and Karthikeyan Kaliyaperumal. "Addressing the Real World Problem of Managing Wireless Communication Systems Using Explainable AI-Based Models through Correlation Analysis." Mathematical Problems in Engineering 2022 (March 23, 2022): 1–6. http://dx.doi.org/10.1155/2022/3390075.
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In a general parlance, wireless communication tends to be investigated based on the available methods that support enhancing the optimized data link, especially the software-based methods. AI is mainly used to create and design efficient communication network systems and variable node locations. The major factors impacting wireless communications in the current context are enhanced channel frequency, efficiency of using the bandwidth, and modulation type. The software-defined ratio enables collecting the information and analyzing the overall signal-related components and processing them in real-time situations. This will support in detecting unnecessary information and identifying latency at each stage of communication. The study is intended to measure the influence of critical factors in enhancing the overall management of wireless communication systems through the application of AI technologies. The researchers used the questionnaire method in order to collect the data from the respondents and enable them to analyze the data using the SPSS data package.
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Nowak, Mariusz, Rafał Różycki, Grzegorz Waligóra, Joanna Szewczyk, Adrian Sobiesierski, and Grzegorz Sot. "Data Processing with Predictions in LoRaWAN." Energies 16, no. 1 (December 29, 2022): 411. http://dx.doi.org/10.3390/en16010411.
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In this paper, the potential to reduce the energy consumption of end devices operating in a LoRaWAN (long-range wide-area network) is studied. An increasing number of IoT components communicating over wireless networks are powered by external sources. Designers of communication systems are concerned with extending the operating time of IoT, hence the need to look for effective methods to reduce power consumption. This article proposes two algorithms to reduce the energy consumption of end devices. The first algorithm is based on the use of a measured value prediction, and the second algorithm optimizes the antenna gain of the end device. Both algorithms have been implemented and tested. The test experiments for reducing energy consumption were conducted independently for the cases with the first algorithm and then for the second algorithm. The possibilities of reducing energy consumption were also investigated for the case when both algorithms work together. The proposed predictive algorithm reduced energy consumption the least. Better results in reducing energy consumption were guaranteed by the algorithm optimizing antenna power. The greatest gain was achieved using both algorithms simultaneously. Tests of the developed algorithms, in laboratory conditions and in conditions with a change in the distance between the end device and the LoRa gateway, confirmed the possibility of reducing energy consumption during the transmission of measurement data in a low-energy wireless LoRaWAN. Reducing electric energy consumption by even a few percent for a single device can result in significant savings on a global scale.
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Imoize, Agbotiname Lucky, Augustus Ehiremen Ibhaze, Aderemi A. Atayero, and K. V. N. Kavitha. "Standard Propagation Channel Models for MIMO Communication Systems." Wireless Communications and Mobile Computing 2021 (February 15, 2021): 1–36. http://dx.doi.org/10.1155/2021/8838792.
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The field of wireless communication networks has witnessed a dramatic change over the last decade due to sophisticated technologies deployed to satisfy various demands peculiar to different data-intensive wireless applications. Consequently, this has led to the aggressive use of the available propagation channels to fulfill the minimum quality of service (QoS) requirement. A major barometer used to gauge the performance of a wireless communication system is the spectral efficiency (SE) of its communication channels. A key technology used to improve SE substantially is the multiple input multiple output (MIMO) technique. This article presents a detailed survey of MIMO channel models in wireless communication systems. First, we present the general MIMO channel model and identified three major MIMO channel models, viz., the physical, analytical, and standardized models. The physical models describe the MIMO channel using physical parameters. The analytical models show the statistical features of the MIMO channel with respect to the measured data. The standardized models provide a unified framework for modern radio propagation architecture, advanced signal processing, and cutting-edge multiple access techniques. Additionally, we examined the strengths and limitations of the existing channel models and discussed model design, development, parameterization, implementation, and validation. Finally, we present the recent 3GPP-based 3D channel model, the transitioning from 2D to 3D channel modeling, discuss open issues, and highlight vital lessons learned for future research exploration in MIMO communication systems.
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Fedosov, Valentin, Andrey Legin, and Anna Lomakina. "Adaptive algorithm for wireless data transmission (including images) based on SISO system and OFDM technique." Serbian Journal of Electrical Engineering 15, no. 3 (2018): 353–64. http://dx.doi.org/10.2298/sjee1803353f.
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The efficiency of wireless systems to transmit information in a complex interference situation is one of the main indicators of the effectiveness of the system, which can be characterized by the probability of an error in the transmitted message. This characteristic depends on the interference situation of the communication channel and the nature of the signals propagation in the medium. If the medium has a multi-path character, the signal interferes with the receiving antenna, causing signal fading. So the developer of wireless communication devices is faced with the task of increasing the noise immunity of the system. It can be increased in various ways, for example, by using adaptive processing algorithms for spatio-temporal signals. In this paper we solve the problem of improving noise immunity in wireless communication systems by applying an algorithm of adaptive spatial-temporal signal processing in the receiver based on an adaptive antenna array, which allows spatial filtering under conditions of a complex pattern of signal propagation in a channel with reflections. Calculation of weights for the adaptation algorithm in the article is based on the theory of eigenvalues and vectors of the spatial correlation matrix.
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Callejas-Cuervo, Mauro, Manuel Andrés Vélez-Guerrero, and Andrea Catherine Alarcón-Aldana. "Characterization of Wireless Data Transmission over Wi-Fi in a Biomechanical Information Processing System." Revista Facultad de Ingeniería 29, no. 54 (November 6, 2019): e10228. http://dx.doi.org/10.19053/01211129.v29.n54.2020.10228.
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This paper presents a characterization of the wireless transmission of biomechanical signals in an embedded system, where a TCP protocol is used in an IEEE 802.11 communications network (Wi-Fi). The embedded system under study, called Imocap, allows the collection, analysis and transmission of biomechanical signals in real-time for various applications, among which the analysis of the movement of the lower and upper extremities and the operation of various control systems stand out. To accomplish this, Imocap is equipped with a Wi-Fi transceiver module (ESP8266) and various input and output peripherals. The wireless communication performance of Imocap, exposed in this paper, was analyzed through different tests in miscellaneous conditions like indoors, outdoors and in the presence of interference, noise and other wireless networks. The different test protocols conducted result in the Imocap system: 1) has a maximum effective range of 45.6 m when in Access Point mode; 2) has a maximum effective range of 44.3 m when in Station mode. In indoors and under the same conditions, the Imocap system: 3) has a maximum effective range of 81.25 m2, either Access Point or Station mode. The results showed that the transmission of biomechanical information through Wi-Fi using the TCP protocol is efficient and robust, both indoors and outdoors, even in environments of radio frequency interference. The use of this protocol is emphasized since its use allows the transmission of packages to be carried out in a controlled manner, allowing the error handling and recovery. In this way, it is possible to carry out efficient and robust wireless communication through embedded and portable devices, focusing mainly on areas such as medicine, telemedicine and telerehabilitation.
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Xia, Lei. "The Indoor Space Layout of University Laboratories Based on Wireless Communication and Artificial Intelligence Decision-Making." Wireless Communications and Mobile Computing 2022 (March 4, 2022): 1–7. http://dx.doi.org/10.1155/2022/5121762.
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In recent years, people have found that the use of contactless wireless communication can be more quickly interactive information transmission, which greatly facilitates our daily life. However, in the past, wireless communication is generally large-scale regional information dissemination. In recent years, with the further development of closed scenes, people are thinking about whether wireless communication can be used in closed scenes to do small and fast information transmission. The purpose of this paper is to study the indoor space layout of university laboratories based on wireless communication and artificial intelligence decision-making support. We are looking at the information about wireless communication to learn that wireless communication was often used in military transmission of signals and information; it has been vigorously developed and popularized, is now mainly used for civilian use, and can be combined with artificial intelligence to implement rapid information transmission transfer, in the data processing volume at a certain time basically achieving second transmission. Wireless communication and artificial intelligence decision-making can be used to conduct research on the indoor layout of college laboratories. In response, after data query and data comparison, we applied to the school for a computer lab and several idle laboratories to cooperate in experiments to facilitate the completion of the architecture of wireless communication and artificial intelligence systems, as well as subsequent data processing analysis. After a period of time of experiments, according to the results of the experiment, the use of wireless communication and artificial intelligence decision-making can help college laboratories according to their own functions, the installation of intelligent equipment, and the indoor layout of better arrangements.
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Liu, Guan-Chen, and Chih-Hsiang Ko. "Visual Communication Design and Wireless Data Transmission Technology for Blockchain Big Data Information Presentation." Wireless Communications and Mobile Computing 2022 (February 22, 2022): 1–14. http://dx.doi.org/10.1155/2022/1380387.
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The present work is aimed at solving the difficulty of BC big data information analysis and the defects of traditional BC platform visual interface (VI), such as nonstandard layout, unreasonable color use, unclear guidance, and increased user learning cost. Firstly, this paper expounds on BC technology, the related theory of information visualization (IV), and the IV design method of BC-generated big data. Secondly, by formulating the user experience design strategy, a big data visual information sharing platform (ISP) based on behavior experience (BE) is designed. Finally, the system performance is tested. The results show that (i) the proposed BE-based big data visual ISP has the basic functions of information query and module jump. The overall interface of the platform is simple and tidy, the information layout is reasonable, the presentation method is more intuitive, and the visual effect is better. (ii) The host throughput of each system module when processing business is greater than 100 times/s, and the success rate (SR) of event handling is greater than 99%. The average response time (RT) of terminal processing is less than 0.3 s, and the average RT of the terminal side is less than 0.4 s. The system’s central processing unit (CPU) occupancy rate (OR) shall be controlled below 30%. The memory OR shall be below 30%, both of which are lower than the standard value, and the system performance meets the standard. To sum up, the proposed ISP has basic functions and ensures good operation performance. It is suitable for the IV of BC-generated big data. The purpose is to provide important technical support for the IV of BC-generated big data and improve the efficiency of users’ data information acquisition and analysis.
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Gueorguiev, Nikolay, Aleksandar Kolarov, and Ilian Iliev. "Module for wireless communication in aerospace vehicles." Aerospace Research in Bulgaria 32 (2020): 160–74. http://dx.doi.org/10.3897/arb.v32.e14.
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The increase in air traffic and space flights, the rising cargo volumes and passenger numbers all set complex research and applied scientific tasks and therefore pose more complex requirements for obtaining up-to-date information on the system parameters and on the environment in which they function. After the advent of IoT platforms, their use in all areas of technology has been growing rapidly, as for instance in data collection and processing systems that are fully applicable to aviation needs. One of the major problems in the building of new systems or upgrading existing ones in line with current trends is the high cost of the innovations and the long time before their implementation. In line with the current trends in aviation, this paper proposes an approach for unified modules comprising a large set of possible sensors operating on a wireless standard for transmitting information and connected in a single and cost-effective network and with minimal time for construction, upgrading and renovation.
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Fedosov, Valentin, Andrey Legin, and Anna Lomakina. "Adaptive algorithm based on antenna arrays for radio communication systems." Serbian Journal of Electrical Engineering 14, no. 3 (2017): 301–12. http://dx.doi.org/10.2298/sjee1703301f.
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Trends in the modern world increasingly lead to the growing popularity of wireless technologies. This is possible due to the rapid development of mobile communications, the Internet gaining high popularity, using wireless networks at enterprises, offices, buildings, etc. It requires advanced network technologies with high throughput capacity to meet the needs of users. To date, a popular destination is the development of spatial signal processing techniques allowing to increase spatial bandwidth of communication channels. The most popular method is spatial coding MIMO to increase data transmission speed which is carried out due to several spatial streams emitted by several antennas. Another advantage of this technology is the bandwidth increase to be achieved without expanding the specified frequency range. Spatial coding methods are even more attractive due to a limited frequency resource. Currently, there is an increasing use of wireless communications (for example, WiFi and WiMAX) in information transmission networks. One of the main problems of evolving wireless systems is the need to increase bandwidth and improve the quality of service (reducing the error probability). Bandwidth can be increased by expanding the bandwidth or increasing the radiated power. Nevertheless, the application of these methods has some drawbacks, due to the requirements of biological protection and electromagnetic compatibility, the increase of power and the expansion of the frequency band is limited. This problem is especially relevant in mobile (cellular) communication systems and wireless networks operating in difficult signal propagation conditions. One of the most effective ways to solve this problem is to use adaptive antenna arrays with weakly correlated antenna elements. Communication systems using such antennas are called MIMO systems (Multiple Input Multiple Output multiple input - multiple outputs). At the moment, existing MIMO-idea implementations do not always noticeably accelerate traffic at short distances from the access point, but, they are very effective at long distances. The MIMO principle allows reducing the number of errors in radio data interchange (BER) without reducing the transmission rate under conditions of multiple signal re-reflections. The work aims at developing an adaptive space-time signal algorithm for a wireless data transmission system designed to improve the efficiency of this system, as well as to study the efficiency of the algorithm to minimizing the error bit probability and maximizing the channel capacity.
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Rajesh, M., and J. M. Gnanasekar. "Constructing Well-Organized Wireless Sensor Networks with Low-level Identification." Oriental journal of computer science and technology 9, no. 1 (March 17, 2016): 17–23. http://dx.doi.org/10.13005/ojcst/901.04.
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In most distributed systems, naming of nodes for low-level communication leverages topological location (such as node addresses) and is independent of any application. In this paper, we investigate an emerging class of distributed systems where low-level communication does not rely on network topological location. Rather, low-level communication is based on attributes that are external to the network topology and relevant to the application. When combined with dense deployment of nodes, this kind of named data enables in-network processing for data aggregation, collaborative signal processing, and similar problems. These approaches are essential for emerging applications such as sensor networks where resources such as bandwidth and energy are limited. This paper is the first description of the software architecture that supports named data and in-network processing in an operational, multi-application sensor-network. We show that approaches such as in-network aggregation and nested queries can significantly affect network traffic. In one experiment aggregation reduces traffic by up to 42% and nested queries reduce loss rates by 30%. Although aggregation has been previously studied in simulation, this paper demonstrates nested queries as another form of in-network processing, and it presents the first evaluation of these approaches over an operational test bed.
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Alsulami, Osama Zwaid, Amal A. Alahmadi, Sarah O. M. Saeed, Sanaa Hamid Mohamed, T. E. H. El-Gorashi, Mohammed T. Alresheedi, and Jaafar M. H. Elmirghani. "Optimum resource allocation in optical wireless systems with energy-efficient fog and cloud architectures." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 378, no. 2169 (March 2, 2020): 20190188. http://dx.doi.org/10.1098/rsta.2019.0188.
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Optical wireless communication (OWC) is a promising technology that can provide high data rates while supporting multiple users. The optical wireless (OW) physical layer has been researched extensively, however, less work was devoted to multiple access and how the OW front end is connected to the network. In this paper, an OWC system which employs a wavelength division multiple access (WDMA) scheme is studied, for the purpose of supporting multiple users. In addition, a cloud/fog architecture is proposed for the first time for OWC to provide processing capabilities. The cloud/fog-integrated architecture uses visible indoor light to create high data rate connections with potential mobile nodes. These OW nodes are further clustered and used as fog mini servers to provide processing services through the OW channel for other users. Additional fog-processing units are located in the room, the building, the campus and at the metro level. Further processing capabilities are provided by remote cloud sites. Two mixed-integer linear programming (MILP) models were proposed to numerically study networking and processing in OW systems. The first MILP model was developed and used to optimize resource allocation in the indoor OWC systems, in particular, the allocation of access points (APs) and wavelengths to users, while the second MILP model was developed to optimize the placement of processing tasks in the different fog and cloud nodes available. The optimization of tasks placement in the cloud/fog-integrated architecture was analysed using the MILP models. Multiple scenarios were considered where the mobile node locations were varied in the room and the amount of processing and data rate requested by each OW node was varied. The results help to identify the optimum colour and AP to use for communication for a given mobile node location and OWC system configuration, the optimum location to place processing and the impact of the network architecture. This article is part of the theme issue ‘Optical wireless communication’.
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Rákay, Róbert, Alena Galajdová, Jaroslav Šeminský, and Ivan Cvitić. "Seleceted Wireless Communication Protocols and their Properties for Use in IoT Systems." Research Papers Faculty of Materials Science and Technology Slovak University of Technology 27, no. 45 (September 1, 2019): 26–32. http://dx.doi.org/10.2478/rput-2019-0022.
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Abstract The article is focused on testing selected communication protocols for the Internet of Things. The aim of the experiments was to find a suitable communication protocol to build a smart device of home automation. The recent developments in the field of communication protocols and data processing are providing a new form of constrained communication, while describing how the Things talk to each other in the Internet of Things. With growing number of connected devices in industry and commercial field, there is a need for the devices which can handle the new forms of communication, handle sensors and operate the battery power. The gathered data is either processed on the “edge” of the network or on the cloud platforms. Authors present a comparison of selected newest communication protocols, while reflecting on the results of their experimental testing.
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Hu, Baohui. "Evaluation Method of English Learning Engagement Based on Wireless Communication Network and Big Data." Wireless Communications and Mobile Computing 2022 (April 6, 2022): 1–10. http://dx.doi.org/10.1155/2022/7239191.
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The existing English learning engagement assessment methods still have some deficiencies, which cannot predict students’ interest in English learning, and the teaching effect is not good enough, resulting in the improvement of students’ performance which is not obvious. Therefore, an English learning engagement assessment method based on wireless communication network and big data is proposed. Firstly, build a mobile wireless communication network model, analyze the metaphor processing and evaluation methods adopted by English learners according to big data, and realize the acquisition and interpretation of metaphor meaning through three steps: the establishment of metaphor knowledge base, the analysis and description of metaphor language, and the classification and recognition of metaphor; build an evaluation framework based on wireless communication network and big data, propose a Java application platform for English learning engagement evaluation, and realize the English learning engagement evaluation method. The experimental research shows that the evaluation method has good stability, short evaluation time, and high efficiency and has practical application effect.
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Aldosary, Abdallah Mobark, Saud Alhajaj Aldossari, Kwang-Cheng Chen, Ehab Mahmoud Mohamed, and Ahmed Al-Saman. "Predictive Wireless Channel Modeling of MmWave Bands Using Machine Learning." Electronics 10, no. 24 (December 14, 2021): 3114. http://dx.doi.org/10.3390/electronics10243114.
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The exploitation of higher millimeter wave (MmWave) is promising for wireless communication systems. The goals of machine learning (ML) and its subcategories of deep learning beyond 5G (B5G) is to learn from the data and make a prediction or a decision other than relying on the classical procedures to enhance the wireless design. The new wireless generation should be proactive and predictive to avoid the previous drawbacks in the existing wireless generations to meet the 5G target services pillars. One of the aspects of Ultra-Reliable Low Latency Communications (URLLC) is moving the data processing tasks to the cellular base stations. With the rapid usage of wireless communications devices, base stations are required to execute and make decisions to ensure communication reliability. In this paper, an efficient new methodology using ML is applied to assist base stations in predicting the frequency bands and the path loss based on a data-driven approach. The ML algorithms that are used and compared are Multilelayers Perceptrons (MLP) as a neural networks branch and Random Forests. Systems that consume different bands such as base stations in telecommunications with uplink and downlink transmissions and other internet of things (IoT) devices need an urgent response between devices to alter bands to maintain the requirements of the new radios (NR). Thus, ML techniques are needed to learn and assist a base station to fluctuate between different bands based on a data-driven system. Then, to testify the proposed idea, we compare the analysis with other deep learning methods. Furthermore, to validate the proposed models, we applied these techniques to different case studies to ensure the success of the proposed works. To enhance the accuracy of supervised data learning, we modified the random forests by combining an unsupervised algorithm to the learning process. Eventually, the superiority of ML towards wireless communication demonstrated great accuracy at 90.24%.
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Deka, Surajit, and Kandarpa Kumar Sarma. "JSCC-UFMC and Large MIMO Technology for High Data Rate Wireless Communication." International Journal of Mobile Computing and Multimedia Communications 11, no. 4 (October 2020): 42–66. http://dx.doi.org/10.4018/ijmcmc.2020100103.
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To reduce the system complexity, cost, and overall processing time, the adoption of joint source-channel coding (JSCC) has been found to be popular. Among several options, universal filtered multi-carrier (UFMC) is regarded as the dominant contender and alternative to orthogonal frequency division multiplexing (OFDM) for upcoming wireless mobile communication networks. UFMC provides increased spectral efficiency, less peak to average power ratio (PAPR), and lower bit error rate (BER) with the removal of the cyclic prefix (CP) and grouping of subcarriers. Multiple-input and multiple-output (MIMO) technology is known to improve the capacity and throughput significantly of wireless systems. In this paper, the authors analyze the performance of UFMC techniques with Kaiser filter and Dolph-Chebyshev filter combined with JSCC in 32x32 large MIMO set-up, which provides better PAPR, power spectral density (PSD), less BER with increased channel capacity. The experimental aspects have been discussed and the results are derived using simulation mimicking near real-life situations.
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Hatanaka, Masahide, Toru Homemoto, and Takao Onoye. "Architecture and Implementation of Fading Compensation for Dynamic Spectrum Access Wireless Communication Systems." VLSI Design 2013 (June 6, 2013): 1–9. http://dx.doi.org/10.1155/2013/967370.
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This paper proposes an efficient architecture and implementation of fading compensation dedicated to dynamic spectrum access (DSA) wireless communication. Since pilot subcarrier arrangements are adaptively determined in wireless communication systems with DSA, the proposed architecture employs piecewise linear interpolation to the channel response estimation for data subcarriers in order to increase the channel estimation accuracy. The fading compensation for an orthogonal frequency-division multiplexing (OFDM) symbol is performed within the time for one OFDM symbol to make increase of latency smaller. The proposed architecture guarantees real-time processing with 76 MHz or higher clock frequency. The FPGA implementation of the proposed architecture occupies 1,577 slices and works up to 121 MHz.
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Sun, Haidong, Zhengtao Zhang, and Peng Li. "Design and Analysis of Bridge Inspection System Based on Wireless Communication and Internet of Things Technology." Wireless Communications and Mobile Computing 2021 (October 13, 2021): 1–5. http://dx.doi.org/10.1155/2021/3410844.
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The continuous development of information technology and various electronic devices has accelerated the process of informatization and digitization, enabling the development and application of the emerging technology of wireless communication and the Internet of Things. Since the continuous occurrence of vicious bridge collapse accidents in China in recent years, the problem of bridge inspection has become a hot topic among the people. At the same time, how to apply wireless communication and the Internet of Things technology to bridge inspection systems has also become a new research topic. This article mainly studies the design and analysis of bridge detection systems based on wireless communication and Internet of Things technology. In order to expand the field of bridge detection and standard management and improve the credibility and reliability of safety problem prediction and evaluation, the bridge detection system will integrate IoT sensing, internet, remote communication, digital signal analysis and processing, big data knowledge mining, big data prediction and other technologies, design and analysis of the main structure of roads and bridges, and other multifaceted knowledge fields and build a professional intelligent digital network based on bridge inspection data collection, monitoring, analysis, evaluation, and early warning. From design to use and maintenance of the bridge, a digital neural network spanning time and space throughout the life cycle is constructed to construct a digital brain with bridge sensing points as neurons. This paper uses high-power infrared sensor equipment, satellite positioning systems, sensor equipment, and other technical equipment to achieve the purpose of data communication and exchange and realize intelligent positioning, identification, supervision, tracking, and other functions, making the wireless communication and Internet of Things reliable transmission, comprehensive perception, intelligent processing, and other capabilities very effective in the field of bridge inspection. Through the research and analysis of this article, there are more and more bridge inspection systems developed by the Internet of Things and wireless communication technology in China, and the percentage of related equipment used can reach more than 90%. The functions of the bridge inspection system are becoming more and more complete, and the results of the inspection data are also increasing.
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Yang, Menglu. "Unmanned Driving Infringement Judgment Based on Wireless Sensor Network Data Mining." Journal of Sensors 2021 (November 2, 2021): 1–11. http://dx.doi.org/10.1155/2021/1599330.
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Based on the wireless sensor network unmanned driving infringement identification system, this paper focuses on the application of data mining technology and state machine technology and designs and implements a set of practical and effective. Self-driving cars can reduce the frequency of traffic accidents, alleviate urban traffic congestion, improve people’s travel efficiency, and lower the threshold of driving and other social values. The data processing program and a number of algorithms are given, and a complete set of data processing procedures and algorithms are proposed, including the collection of raw sensor data, the preprocessing of the collected data, and the feature extraction of the processed data. In the experiment, the unmanned driving infringement monitoring network was first designed to conduct real-time monitoring of unmanned driving infringements during transportation and application. Aiming at the characteristics of unmanned driving infringements, a monitoring network platform was designed for remote control and large-scale monitoring. Secondly, according to the characteristics of the unmanned driving infringement monitoring sensor network, the unmanned driving infringement node monitoring terminal is designed. The monitoring terminal part mainly designs the sensor module, the wireless communication module, the display warning module power module, and the data mining processing module. The sensor modules, respectively, include temperature, humidity, and concentration sensors, and the communication mode in the communication module mainly adopts Wi-Fi. At the same time, the research is based on wireless sensor network, combined with data mining technology, puts forward a sensory data display system model based on data mining technology, and conducts an in-depth analysis of the sensory data display system model, including the logical level of the system, system architecture, and functional modules. Finally, it focuses on the specific application of data mining technology in environmental information analysis and prediction, uses JAVA programming and realizes a data analysis and display system based on wireless sensor network, and verifies the accuracy of the data mining algorithm. The experimental results analyze the application of data mining technology in the driverless infringement determination system and use a large number of unmanned driving infringements to analyze the determination rules, so as to realize the interaction between active people and driverless cars.
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LIU, Weijie, and Zhengyuan Xu. "Some practical constraints and solutions for optical camera communication." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 378, no. 2169 (March 2, 2020): 20190191. http://dx.doi.org/10.1098/rsta.2019.0191.
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Mobile wireless communication heavily relies on the radio frequency to convey message and data. However, its limited spectrum can hardly meet the demands for the future high data rate applications. Optical wireless communication, in particular visible light communication, opens up vast optical spectrum for communication, and meanwhile can retrofit the light sources as the communication transmitters in the existing working or living environments. In conjunction with the ubiquitous cameras in hand-held consumer electronics such as smartphones and pads, optical camera communication (OCC) further takes advantages of image sensors as the communication receivers and realizes low-cost communication systems. This article first provides an overview of OCC systems. It then addresses some practical constraints, ranging from sensor low frame rate and instability, rolling shutter readout, to visual qualities of displayed images and videos, and link blockage between the transmitter and receiver. Accordingly, it introduces existing and new solutions to deal with those constraints by data modulation, newly developed camera structures, post-processing of sensed signals and non-line of sight OCC as a new form. In particular, indirect paths by either the indoor surface reflection or the outdoor atmospheric scattering are explored for link connectivity under blockage. Finally, some future research directions are suggested. This article is part of the theme issue ‘Optical wireless communication’.
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Shobanadevi, A., G. Maragathm, Syam Machinathu Parambil Gangadharan, Mukesh Soni, Rohit Kumar, Tien Anh Tran, and Bhupesh Kumar Singh. "Internet of Things-Based Data Hiding Scheme for Wireless Communication." Wireless Communications and Mobile Computing 2022 (January 17, 2022): 1–8. http://dx.doi.org/10.1155/2022/6997190.
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The substantial rise of information technology has facilitated the methods of access to digital information and internet of things (IOT). Digital image processing handles the digital material to store and distribute more effectively with decreased time and space complexity. However, these tactics undermine the privacy of digital materials. A recent study focuses on shielding digital materials from illicit use and distribution by making reversible data strategies to tackle the risk of privacy breaches for digital content. In this study, a composite reversible data hiding (CRDH) approach is suggested. CRDH employed the integer wavelet transform (HAAR transform) with the HH band’s eigenvalue decomposition. The suggested CRDH first performed the IWT transformation on the cover image (CI) and parsed it into four consecutive frequency subbands, namely, LL, HL, LH, and HH. Sensitive data of the proposed approach are incorporated by merging the HH band of the cover image’s individual values with the encrypted eigenvalues of the confidential data. The choosing of casing art is such a method that values are within a range. The confidential data picture and HH band’s frequency band are roughly the same; thus, modifying the individual values will not affect the quality of the confidential data image and the HH band’s content. The suggested strategy’s primary purpose is to design a data concealing technique that hinders the verification of digital information by maintaining a high rate of peak signal-to-noise ratio (PSNR). The PSNR of the existing technology is less than 50 per cent of the total accessible data set. The PSNR value shows the picture’s visual quality, where the PSNR increases the better image quality. Therefore, concealing data is essential for the technique that inhibits authentication and keeps a high rate of PSNR. The suggested approach fulfils this aim, gets a PSNR rate of above 50 per cent, and hits 59 per cent for line.
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Bessios, Anthony G., and Frank M. Caimi. "High-rate wireless data communications: An underwater acoustic communications framework at the physical layer." Mathematical Problems in Engineering 2, no. 6 (1996): 449–85. http://dx.doi.org/10.1155/s1024123x96000439.
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A variety of signal processing functions are performed by Underwater Acoustic Systems. These include: 1) detection to determine presence or absence of information signals in the presence of noise, or an attempt to describe which of a predetermined finite set of possible messages{mi,i,...,M}the signal represents; 2) estimation of some parameterθˆassociated with the received signal (i.e. range, depth, bearing angle, etc.); 3) classification and source identification; 4) dynamics tracking; 5) navigation (collision avoidance and terminal guidance); 6) countermeasures; and 7) communications. The focus of this paper is acoustic communications.There is a global current need to develop reliable wireless digital communications for the underwater environment, with sufficient performance and efficiency to substitute for costly wired systems. One possible goal is a wireless system implementation that insures underwater terminal mobility. There is also a vital need to improve the performance of the existing systems in terms of data-rate, noise immunity, operational range, and power consumption, since, in practice, portable high-speed, long range, compact, low-power systems are desired.We concede the difficulties associated with acoustic systems and concentrate on the development of robust data transmission methods anticipating the eventual need for real time or near real time video transmission. An overview of the various detection techniques and the general statistical digital communication problem is given based on a statistical decision theory framework. The theoretical formulation of the underwater acoustic data communications problem includes modeling of the stochastic channel to incorporate a variety of impairments and environmental uncertainties, and proposal of new compensation strategies for an efficient and robust receiver design.
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Jayasekara, Pubudu Sanjuka, Tharindu Niroshan Gurusinghe, Hiruni Eranga Wijesooriya, Jehan Seneviratne, Aruna Ranaweera, Charith Jayathilaka, RP Palitha Wijesundera, and Sudath Kalingamudali. "Smart System Using Lora Technology to Connect Rural Areas Underserved By Existing Internet and Telecommunication Technologies." ECS Transactions 107, no. 1 (April 24, 2022): 17731–44. http://dx.doi.org/10.1149/10701.17731ecst.
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LoRa, Sigfox, and Narrowband-Internet of Things (NB-IoT) are some of the long-distance, low-power wireless communication technologies developed in the recent past. The proposed system consists of mainly nodes and a gateway as the fundamental system architecture. Nodes only communicate with the gateway individually and the gateway communicates with all the nodes separately and wirelessly. System in this proposed study, uses long range low power RF wireless communication technique for primary data communication, where an Internet connection will not be required for the communication between the gateway and the nodes. Any number of nodes can be paired with the gateway, and the gateway can individually communicate with each and every node. Furthermore, gateways have the ability of storing real-time data. Due to its unique design, the proposed system in this study, can achieve addressable, bidirectional, and continuous data communication even without the Internet connection. The bidirectional communication design of this proposed system facilitates real time and uninterrupted simultaneous handling of monitoring/sensor devices and controller devices without the need of a separate controlling system. As this system consists of those unique features, it is recommended to use in the rural areas underserved by current internet and telecommunication technologies. With the in-built option to get connected to the Internet, this system can be further expanded to an IoT based addressable data communication, processing, and visualization systems by eliminating the major technical problems in typical IoT systems such as interrupted communication and data losses during an Internet connection failure, power concerns and customization issues.
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Eneh, T., P. Rapajic, K. Anang, and Bello Lawal. "Adaptive MMSE Multiuser Detection in MIMO OFDM Wireless Communication System." Advanced Materials Research 367 (October 2011): 233–40. http://dx.doi.org/10.4028/www.scientific.net/amr.367.233.
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The combination of MIMO signal processing with OFDM is a solution to achieving high data rates for next generation wireless communication systems operating in frequency selective fading environments. To realize the extension of the MIMO with OFDM, a number of changes are required in the baseband signal processing. The developed adaptive Multiuser Detection in MIMO OFDM(AMUD) scheme performs better compared to non adaptive MIMO OFDM, at low Signal to noise ratio (SNR), it shows good performance in computational complexity, bit error rate (BER) and capacity. Simulation results show that the developed algorithm sum rate capacity is very close to MIMO theoretical upper bound (21.5 bits/s/Hz at signal to noise ratio of 20dB) which strongly indicate it’s applicability to the uplink channel where power transmission at the mobile station is a constraint. The BER performance of the developed scheme shows that, as the number of antenna increases, the 8 x 8 AMUD provides a 2dB gain compared to known non adaptive MIMO OFDMO at low SNR.
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K., Santhoshkumar, and Suganthi P. "AEr-Aware Data Aggregation in Wireless Sensor Network Using Hybrid Multi-Verse-Optimized Connected Dominant Set." International Journal of Information Security and Privacy 16, no. 2 (April 1, 2022): 1–17. http://dx.doi.org/10.4018/ijisp.308313.
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Wireless sensor network (WSN) refers to emerging technology with great promise for different applications in the military and mass public. Sensing technology, when combined with wireless communication and processing power, can make it quite lucrative to be exploited to a great extent in the future. The selection of clustering-based optimal cluster head (CH) in the WSN can be a very efficient technique that is important to improve the lifetime of the network. However, enforcing an optimal CH selection that is based on the stabilization of energy, reduced distance between the sensor nodes, and minimized delay can be a major challenge. Since there is no centralized control or fixed infrastructure for the WSN, there can be a connected dominating set (CDS) that may work in the form of a virtual backbone to ensure efficient connectivity and routing. In this work, an optimized multi-hop low-energy adaptive clustering hierarchy (M-LEACH) protocol for the WSNs was proposed.
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Trasviña-Moreno, C. A., R. Blasco, R. Casas, and A. Marco. "Autonomous WiFi Sensor for Heating Systems in the Internet of Things." Journal of Sensors 2016 (2016): 1–14. http://dx.doi.org/10.1155/2016/7235984.
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In smart cities and home applications, the use of Wireless Sensor Networks to extract environmental data becomes more common with the passing of time. These sensors are used for a wide array of applications, but mainly to manage energy consumption in domestic buildings. One of the key energy consumers in households is heating systems. To monitor them, sensors are used with wireless communication protocols, like ZigBee, to transmit data to a central processing unit (CPU). WiFi communications, on the contrary, are rarely seen in these implementations due to its high energy consumption, although almost in every home one can find such networks. Yet, with the Internet of Things (IoT), new revisions of the standard have arisen which enable this technology for wireless sensing. To validate this theory and fill a technological necessity, this proposal is presented. In this work, the design and implementation of an autonomous WiFi sensor, paired with thermoelectric energy harvesting, are presented as an IoT solution for monitoring heating devices. For this, a thorough analysis of the proposed architecture is presented. Tests regarding energy consumption and generation, efficiency, and real world scenario trials are done. Finalizing, a comparison between the obtained results and current implementations is shown.
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Hwang, Seokha, Seungsik Moon, Dongyun Kam, Inn-Yeal Oh, and Youngjoo Lee. "High-Throughput and Low-Latency Digital Baseband Architecture for Energy-Efficient Wireless VR Systems." Electronics 8, no. 7 (July 22, 2019): 815. http://dx.doi.org/10.3390/electronics8070815.
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This paper presents a novel baseband architecture that supports high-speed wireless VR solutions using 60 GHz RF circuits. Based on the experimental observations by our previous 60 GHz transceiver circuits, the efficient baseband architecture is proposed to enhance the quality of transmission. To achieve a zero-latency transmission, we define an (106,920, 95,040) interleaved-BCH error-correction code (ECC), which removes iterative processing steps in the previous LDPC ECC standardized for the near-field wireless communication. Introducing the block-level interleaving, the proposed baseband processing successfully scatters the existing burst errors to the small-sized component codes, and recovers up to 1080 consecutive bit errors in a data frame of 106,920 bits. To support the high-speed wireless VR system, we also design the massive-parallel BCH encoder and decoder, which is tightly connected to the block-level interleaver and de-interleaver. Including the high-speed analog interfaces for the external devices, the proposed baseband architecture is designed in 65 nm CMOS, supporting a data rate of up to 12.8 Gbps. Experimental results show that the proposed wireless VR solution can transfer up to 4 K high-resolution video streams without using time-consuming compression and decompression, successfully achieving a transfer latency of 1 ms.
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S. Abouzeid, Mohamed, Heba A. El-khobby, Mahmoud A. A. Ali, and Mohamed E. Nasr. "Edge Controller Placement for Next Generation Wireless Sensor Networks." International Journal of Computer Science and Information Technology 14, no. 5 (October 31, 2022): 17–27. http://dx.doi.org/10.5121/ijcsit.2022.14502.
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Nowadays, Fog architecture or Edge architecture is becoming a popular research trend to distribute a substantial amount of computing resources, data processing and resource management at the extreme edge of the wireless sensor networks (WSNs). Industrial communication is a research track in next generation wireless sensor networks for the fourth revolution in the industrial process. Adopting fog architecture into Industrial communication systems is a promising technology within sensor networks architecture. With Software Defined Network (SDN) architecture, in this paper, we address edge controller placement as an optimization problem with the objective of more robustness while minimizing the delay of network management and the associated synchronization overhead. The optimization problem is provided and modelled as submodular function. Two algorithms are provided to find the optimal solution using a real wireless network to get more realistic results. Greedy Algorithm and Connectivity Ranking Algorithm are provided. Greedy algorithm outperforms connectivity ranking algorithm to find the optimum balance between the different metrics. Also, based on the network operator preference, the number of edge controllers to be placed will be provided. This research paper plays a great role in standardization of softwarization into Industrial communication systems for next generation wireless sensor networks.
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Wang, Yan Kun, Yun Xu Shi, and Hong Mei Fan. "Design of Mine Production Safety Monitoring System." Advanced Materials Research 503-504 (April 2012): 1330–33. http://dx.doi.org/10.4028/www.scientific.net/amr.503-504.1330.
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The mine safety monitoring system is a set of sensor technology, electronics technology, power electronics technology, computer technology, wireless communication and network technology in one of China's leading multi-functional computer network systems, including underground, Inoue environment and equipment the detection of network systems and the Inoue monitoring data processing system. Environment and equipment for testing network system to achieve underground, of Inoue environment physical monitoring and control; monitoring data processing system is a comprehensive treatment of the collected data in order to achieve the sub-station set up and control equipment or detection sensors, through LAN detection information sharing, may constitute the enterprise information system.
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Zhang, Zhen-dong, Bin Wu, and Yu-mei Zhou. "Multipath Pipelined Polyphase Structures for FIR Interpolation and Decimation in MIMO OFDM Systems." ISRN Signal Processing 2011 (December 29, 2011): 1–4. http://dx.doi.org/10.5402/2011/378293.
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The combination of multiple-input multiple-output (MIMO) signal processing with orthogonal frequency-division multiplexing (OFDM) technique is one favored solution in wireless communication systems for enhancing data rate. However, the computational complexity is also linear increased with the number of data streams. Generally, multiple finite impulse response (FIR) interpolations and decimations are added to solve the multiple data streams in a MIMO OFDM system, which cause a large increase in the hardware cost. In this paper, two multipath pipelined polyphase structures for FIR interpolation and decimation to efficiently deal with the simultaneous multiple data streams are proposed. According to the proposed structures, M simultaneous data streams can be supported in the M-component polyphase interpolation or decimation with only one set of computation units. Implementation examples show that up to 56% reduction of silicon area can be obtained over the traditional polyphase structures.
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Stój, Jacek, Anne-Lena Kampen, Rafał Cupek, Ireneusz Smołka, and Marek Drewniak. "Industrial Shared Wireless Communication Systems—Use Case of Autonomous Guided Vehicles with Collaborative Robot." Sensors 23, no. 1 (December 23, 2022): 158. http://dx.doi.org/10.3390/s23010158.
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Dedicated fieldbuses were developed to provide temporal determinisms for industrial distributed real-time systems. In the early stages, communication systems were dedicated to a single protocol and generally supported a single service. Industrial Ethernet, which is used today, supports many concurrent services, but usually only one real-time protocol at a time. However, shop-floor communication must support a range of different traffic from messages with strict real-time requirements such as time-driven messages with process data and event-driven security messages to diagnostic messages that have more relaxed temporal requirements. Thus, it is necessary to combine different real-time protocols into one communication network. This raises many challenges, especially when the goal is to use wireless communication. There is no research work on that area and this paper attempts to fill in that gap. It is a result of some experiments that were conducted while connecting a Collaborative Robot CoBotAGV with a production station for which two real-time protocols, Profinet and OPC UA, had to be combined into one wireless network interface. The first protocol was for the exchange of processing data, while the latter integrated the vehicle with Manufacturing Execution System (MES) and Transport Management System (TMS). The paper presents the real-time capabilities of such a combination—an achievable communication cycle and jitter.
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Pieš, Martin, Radovan Hájovský, and Jan Velička. "Wireless Measuring System for Monitoring the Condition of Devices Designed to Protect Line Structures." Sensors 20, no. 9 (April 29, 2020): 2512. http://dx.doi.org/10.3390/s20092512.
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A large number of rock formations in the Czech Republic and abroad directly threaten to damage objects or traffic along the roads located beneath these formations. For this reason, many such rock formations are stabilized using protective fences or dynamic barriers. There are several special sensors available on the market. However, there is no comprehensive monitoring system, including remote threshold settings, data processing, and alarm conditions. This statement is supported by extensive research in this area as well as information from major geotechnical companies that are interested in such a system and want to include it in their portfolio. The aim of the article is to describe the unique wireless monitoring system used to measure the geotechnical quantities we have developed. The design and implementation of systems used to measure protective fence states with accelerometers and slope shift with load anchor cells are presented. Wireless accelerometric sensors and load anchor cell sensors are proposed for both systems. To transfer data from the accelerometer sensor to a superior system, IQRF® technology is applied for the communication between the wireless nodes and the network coordinator under the IQMESH topology. The article includes a detailed description of the development of the accelerometric wireless sensor node and load anchor cell wireless sensor node. Three case studies are also discussed. The first case study focuses on the data implementation and assessment at a testing polygon at the village of Málkov. The second case study describes the data implementation and an assessment of the measuring system under operating conditions in Zbraslav, a municipality near Prague. The third case study describes the implementation and assessment of data from load anchor cell wireless nodes installed in realistic conditions on a supporting gabion wall next to a road. All communication between the sensors and with the IQMESH network coordinator and database was executed wirelessly. The data were archived in a MySQL database and it provides a data source for the assessment and visualizations using the Grafana SW system.
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Leligou, Helen C., Periklis Chatzimisios, Lambros Sarakis, Theofanis Orphanoudakis, Panagiotis Karkazis, and Theodore Zahariadis. "An 802.11p Compliant System Prototype Supporting Road Safety and Traffic Management Applications." International Journal of Wireless Networks and Broadband Technologies 3, no. 1 (January 2014): 1–17. http://dx.doi.org/10.4018/ijwnbt.2014010101.
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During the last decades Intelligent Transportation Systems (ITS) have been attracting the interest of an increasing number of researchers, engineers and entrepreneurs, as well as citizens and civil authorities, since they can contribute towards improving road transport safety and efficiency and ameliorate environmental conditions and life quality. Emerging technologies yield miniaturized sensing, processing and communication devices that enable a high degree of integration and open the way for a large number of smart applications that can exploit automated fusion of information and enable efficient decisions by collecting, processing and communicating a large number of data in real-time. The cornerstone of these applications is the realization of an opportunistic wireless communication system between vehicles as well as between vehicles and infrastructure over which the right piece of information reaches the right location on time. In this paper, the authors present the design and implementation of representative safety and traffic management applications. Specifically the authors discuss the hardware and software requirements presenting a use case based on the NEC Linkbird-MX platform, which supports IEEE 802.11p based communications. The authors show how the functionality of IEEE 802.11p can be exploited to build efficient road safety and traffic management applications over mobile opportunistic systems and discuss practical implementation issues.
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Ding, Fan, Wenyu Zhang, Xiwen Luo, Zhigang Zhang, Mingchang Wang, Hongkai Li, Mingda Peng, and Liwen Hu. "Design and Experiment for Inter-Vehicle Communication Based on Dead-Reckoning and Delay Compensation in a Cooperative Harvester and Transport System." Agriculture 12, no. 12 (November 29, 2022): 2052. http://dx.doi.org/10.3390/agriculture12122052.
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To achieve high-frequency and effective inter-vehicle communication between harvesters and transport vehicles during cooperative harvesting, a protocol for wireless communication was designed by analyzing actual communication requirements. Two different wireless communication modes (radio and 4G) were selected for the hardware design; then, a Kalman Filter was designed based on real-time Dead-reckoning and inter-vehicle Communication data after delay Compensation (KFDCC). Finally, the relative longitudinal deviation between two vehicles was obtained and updated steadily at a 10 Hz frequency. By using the relative longitudinal deviation of two vehicles, calculated after aligning the UTC stamp with the local GNSS data from the harvester and transport vehicle as a comparative metric, accuracy evaluation experiments were conducted regarding radio and 4G. The maximum absolute errors of the KFDCC output value were 0.03783 and 0.07381 m, respectively, and the mean square errors were 0.00392 and 0.01317 m, respectively. Compared with systems without the KFDCC method, the mean square errors were reduced by 88.76% and 90.60%, respectively. The KFDCC method can also effectively solve the problems of data delay, packet loss, blockage, error, and so on, in wireless communication, and has short-time breakpoint endurance capabilities. Field experiments showed that the proposed method can provide accurate data support for the dynamic alignment and unloading processes of harvesters and transport vehicles, and it can also provide algorithmic support for real-time communication data fusion between different wireless communication modes. Overall, the inter-vehicle communication mode and data-processing method designed in this paper have good effects and adaptability, and they can guarantee that the whole process of autonomous harvesting operates properly.
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Lang, Wei Min, Yuan Cheng Zhu, and Hu Sheng Li. "A Multi-Layer Security Architecture for Wireless Cognitive Sensor Networks in Smart Grids." Advanced Materials Research 546-547 (July 2012): 1107–12. http://dx.doi.org/10.4028/www.scientific.net/amr.546-547.1107.
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Wireless sensor networks have been extensively deployed in the electric power systems for sensing, transmission and control, which provide more opportunities for wireless low power radios to operate. As the next generation electricity system, the smart grid should possess the capability to transmit reliable and real-time information to the control centers of the utilities. In order to solve the issues such as heterogeneous coexistence, spectrum scarcity, tremendous data processing and Security guarantees, revolutionary communication architecture is urgently demanded. In this paper, after analyzing the hierarchical structure of smart grid and illustrating the principle of WCSN in smart grids, we propose the security architecture of wireless sensor networks based on cognitive radio for smart grids, which can be used as a reference to design and develop the Wireless Cognitive Sensor Network (WCSN) security schemes in the electric power systems.
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Naguib, Ayman F., and R. Calderbank. "Space-time coding and signal processing for high data rate wireless communications." Wireless Communications and Mobile Computing 1, no. 1 (January 2001): 13–34. http://dx.doi.org/10.1002/1530-8677(200101/03)1:1<13::aid-wcm2>3.0.co;2-j.
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Losada, Markos, Iñigo Adin, Alejandro Perez, Roberto Carlos Ramírez, and Jaizki Mendizabal. "Connected Heterogenous Multi-Processing Architecture for Digitalization of Freight Railway Transport Applications." Electronics 11, no. 6 (March 17, 2022): 943. http://dx.doi.org/10.3390/electronics11060943.
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The digitalisation of freight rail is an essential improvement to create modern functions that offer a cost-effective, attractive service and improved operational opportunities to operators. These modern functions need intelligence, detection, actuation and communications. For this, generally, it is possible to process raw data in the Edge and send meaningful data over a communication link. However, the power supply is not granted in a freight wagon and so low power strategies need to be adopted. This paper presents the implementation and testing of a wireless connected heterogeneous multiprocessing architecture. From the power consumption point of view, this system has been stressed by means of a generic FFT function to evaluate the different on-board computing devices that have been decided. From the communication point of view, the LPWAN LoRa technology has been tested and validated on robustness and coverage. Thanks to the heterogeneous nature of this architecture and its configurability, it allows us to propose the most suitable computing ressources, data analysis and communication strategy in terms of efficiency and performance for the functions that this wagon on board unit needs to host and support. With this approach, operation data are reported to the centralised freight driver assistant system.
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Brandl, Martin, and Karlheinz Kellner. "Performance Evaluation of Power-Line Communication Systems for LIN-Bus Based Data Transmission." Electronics 10, no. 1 (January 4, 2021): 85. http://dx.doi.org/10.3390/electronics10010085.
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Powerline communication (PLC) is a versatile method that uses existing infrastructure such as power cables for data transmission. This makes PLC an alternative and cost-effective technology for the transmission of sensor and actuator data by making dual use of the power line and avoiding the need for other communication solutions; such as wireless radio frequency communication. A PLC modem using DSSS (direct sequence spread spectrum) for reliable LIN-bus based data transmission has been developed for automotive applications. Due to the almost complete system implementation in a low power microcontroller; the component cost could be radically reduced which is a necessary requirement for automotive applications. For performance evaluation the DSSS modem was compared to two commercial PLC systems. The DSSS and one of the commercial PLC systems were designed as a direct conversion receiver; the other commercial module uses a superheterodyne architecture. The performance of the systems was tested under the influence of narrowband interference and additive Gaussian noise added to the transmission channel. It was found that the performance of the DSSS modem against singleton interference is better than that of commercial PLC transceivers by at least the processing gain. The performance of the DSSS modem was at least 6 dB better than the other modules tested under the influence of the additive white Gaussian noise on the transmission channel at data rates of 19.2 kB/s.
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Xie, Ou. "Image Retrieval of Tourism Landscape in Rural Revitalization Based on Wireless Communication Network." Wireless Communications and Mobile Computing 2022 (February 11, 2022): 1–13. http://dx.doi.org/10.1155/2022/7167611.
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With the rapid development of information technology, people's acquisition of tourism and other information is increasingly dependent on images and other information. Aiming at the low efficiency of traditional image retrieval methods in processing massive image data, an image retrieval method based on wireless communication network is proposed. Based on the salient area and wireless communication network combined with the hash method to extract local CNN features, simulate INRIA Holidays Data set and Oxford Buildings Data set, and calculate the accuracy and recall rate of search results based on the returned results of tourist attractions pictures. This article designs an experiment to verify the accuracy and recall rate of search results. By comparing the feature hash function to generate the hash code and the Hamming distance between each hash code in the image library, the image is queried, and the final search result is obtained: The more searches, the lower the accuracy and recall rate. This also proves to a certain extent that the CNN feature extraction technology can be used for travel image search, improving the search accuracy by 20%.The wireless communication network is still of great significance to the future social development. It is necessary to conduct in-depth research, not only the image retrieval of tourist attractions proposed in this article but also the potential value of wireless communication networks from multiple angles and more comprehensively.
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Chaparro B., Fabián, Manuel Pérez, and Diego Mendez. "A Communication Framework for Image Transmission through LPWAN Technology." Electronics 11, no. 11 (June 2, 2022): 1764. http://dx.doi.org/10.3390/electronics11111764.
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Analyzing the conditions of use and selecting which technology is more efficient to apply is required when transmitting information through wireless networks.The Internet of Things (IoT) has gained traction in industry and academia as a paradigm in which information and communication technologies merge to deliver unique solutions by detecting, actuating, calculating, and sharing massive volumes of data via embedded systems. In this scenario, Low-Power Wide-Area Networks (LPWAN) appear to be an attractive solution for node connectivity. Typical IoT solutions demand flexible restrictions for wireless communication networks in terms of data rates and latency in exchange for having larger communication ranges and low energy consumption. Nonetheless, as the amount of data and data speeds demanded for particular applications increase, such as image transmissions, IoT network connectivity deteriorates. This paper proposes a communication architecture for image transmission across LPWAN networks utilizing LoRa modulation. The framework combines image processing techniques (classification, compressive sensing (CS), and reconstruction) with an investigation of LoRa modulation parameters using a Software-Defined Radio (SDR) environment. The results show that is possible to communicate an image of 128×128 pixels with four packets and one frequency channel in 2.51 s.
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Xia, Lian, Jiang Han, and Nian En Zhu. "Research on Man-Machine Coordinated Manufacturing Mode Based on Wireless Communication and Internet of Things." Advanced Materials Research 305 (July 2011): 306–10. http://dx.doi.org/10.4028/www.scientific.net/amr.305.306.
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Through applying the technology of the wireless mobile communication and the wireless sensor network of the internet of things in modern digital floor manufacture systems, the man-machine coordinated manufacturing mode was established based on the digital human perception workshop. In this paper, the structure and characteristics of the manufacturing mode have been analyzed, and the realization methods of perception workshop and the man-machine coordinated manufacturing mode dominated by digital human have been expatiated. To the original data processing of digital artificial leading manufacturing mode, the MLE algorithm of bayesian formula calculations and the bayesian toolkit BNT simulated experiment is used in this paper, and the result of the experiment shows the method is practicable and effective.
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Soetedjo, Aryuanto, Yusuf Nakhoda, and Choirul Saleh. "Embedded Fuzzy Logic Controller and Wireless Communication for Home Energy Management Systems." Electronics 7, no. 9 (September 10, 2018): 189. http://dx.doi.org/10.3390/electronics7090189.
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Energy management systems in residential areas have attracted the attention of many researchers along the deployment of smart grids, smart cities, and smart homes. This paper presents the implementation of a Home Energy Management System (HEMS) based on the fuzzy logic controller. The objective of the proposed HEMS is to minimize electricity cost by managing the energy from the photovoltaic (PV) to supply home appliances in the grid-connected PV-battery system. A fuzzy logic controller is implemented on a low-cost embedded system to achieve the objective. The fuzzy logic controller is developed by the distributed approach where each home appliance has its own fuzzy logic controller. An automatic tuning of the fuzzy membership functions using the Genetic Algorithm is developed to improve performance. To exchange data between the controllers, wireless communication based on WiFi technology is adopted. The proposed configuration provides a simple effective technology that can be implemented in residential homes. The experimental results show that the proposed system achieves a fast processing time on a ten-second basis, which is fast enough for HEMS implementation. When tested under four different scenarios, the proposed fuzzy logic controller yields an average cost reduction of 10.933% compared to the system without a fuzzy logic controller. Furthermore, by tuning the fuzzy membership functions using the genetic algorithm, the average cost reduction increases to 12.493%.
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Feltrin, Glauco, Nemanja Popovic, Kallirroi Flouri, and Piotr Pietrzak. "A Wireless Sensor Network with Enhanced Power Efficiency and Embedded Strain Cycle Identification for Fatigue Monitoring of Railway Bridges." Journal of Sensors 2016 (2016): 1–14. http://dx.doi.org/10.1155/2016/4359415.
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Wireless sensor networks have been shown to be a cost-effective monitoring tool for many applications on civil structures. Strain cycle monitoring for fatigue life assessment of railway bridges, however, is still a challenge since it is data intensive and requires a reliable operation for several weeks or months. In addition, sensing with electrical resistance strain gauges is expensive in terms of energy consumption. The induced reduction of battery lifetime of sensor nodes increases the maintenance costs and reduces the competitiveness of wireless sensor networks. To overcome this drawback, a signal conditioning hardware was designed that is able to significantly reduce the energy consumption. Furthermore, the communication overhead is reduced to a sustainable level by using an embedded data processing algorithm that extracts the strain cycles from the raw data. Finally, a simple software triggering mechanism that identifies events enabled the discrimination of useful measurements from idle data, thus increasing the efficiency of data processing. The wireless monitoring system was tested on a railway bridge for two weeks. The monitoring system demonstrated a good reliability and provided high quality data.
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Liu, Xin. "Wireless Network Communication in the XML Metadata Storage of Wushu Historical Archives." Wireless Communications and Mobile Computing 2021 (November 8, 2021): 1–13. http://dx.doi.org/10.1155/2021/5171713.
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The wireless communication network has a huge promotion effect on data processing. As an important standard for internet data transmission, XML markup language is currently widely used in the internet. The rapid development of XML has brought fresh blood to the research of database. This article is aimed at studying the application of wireless network communication in the storage of the XML metadata database of Wushu Historical Archives. One part uses data load-balancing algorithms and two-way path constraint algorithms to conduct research on the metadata storage of XML databases, such as document size, document loading, and document query. Combining wireless technology and comparing with SGML and HTML, it highlights the flexibility and importance of XML database. The other part analyzes the XML database of Wushu Historical Archives itself and uses questionnaire surveys combined with the experience of 30 users randomly checked to provide constructive suggestions for the construction of XML database, such as strengthening the operation page design, text, and graphics. The experimental results show that the time consumed by the XML database in the case of bidirectional path indexing is 0.37 s, and the time consumed in the case of unidirectional path indexing is 0.27 s. This data shows that the application of wireless network communication technology has played an important role in the easy update and flexibility of the XML database. The data load capacity presented by the two path indexes is inconsistent; the current experience of XML database mainly focuses on the copy of the database quantity.
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Wen, Tao, Quanbo Ge, Xinan Lyu, Lei Chen, Costas Constantinou, Clive Roberts, and Baigen Cai. "A cost-effective wireless network migration planning method supporting high-security enabled railway data communication systems." Journal of the Franklin Institute 358, no. 1 (January 2021): 131–50. http://dx.doi.org/10.1016/j.jfranklin.2019.01.037.
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Maivizhi, Radhakrishnan, and Palanichamy Yogesh. "Secure In-Network Aggregation in Wireless Sensor Networks." International Journal of Intelligent Information Technologies 16, no. 1 (January 2020): 49–74. http://dx.doi.org/10.4018/ijiit.2020010104.
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In-network aggregation is a natural approach in wireless sensor networks (WSNs) to collaboratively process data generated by the sensor nodes. Besides processing, in-network aggregation also achieves effective energy consumption and bandwidth utilization. Since the sensing devices of a WSN are prone to a variety of attacks due to wireless communication and limited resources, secure in-network aggregation is a great challenge. This article proposes a secure in-network aggregation (SINA) protocol for additive aggregation functions. This protocol integrates privacy homomorphism (PH) and secret sharing to achieve both data confidentiality and data integrity. Additionally, the proposed protocol ensures message authentication and data freshness. Moreover, it achieves false data screening in-network should be changed as in-network false data screening which considerably saves energy by not transmitting false packets. Security analysis reveals that SINA protects the network from variety of attacks. Performance analysis shows that SINA consumes less energy while achieving end-to-end security, and thereby increases the lifetime of the WSN.
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Xie, Yapeng, Yitong Wang, Sithamparanathan Kandeepan, and Ke Wang. "Machine Learning Applications for Short Reach Optical Communication." Photonics 9, no. 1 (January 4, 2022): 30. http://dx.doi.org/10.3390/photonics9010030.
Full textAbstract:
With the rapid development of optical communication systems, more advanced techniques conventionally used in long-haul transmissions have gradually entered systems covering shorter distances below 100 km, where higher-speed connections are required in various applications, such as the optical access networks, inter- and intra-data center interconnects, mobile fronthaul, and in-building and indoor communications. One of the techniques that has attracted intensive interests in short-reach optical communications is machine learning (ML). Due to its robust problem-solving, decision-making, and pattern recognition capabilities, ML techniques have become an essential solution for many challenging aspects. In particular, taking advantage of their high accuracy, adaptability, and implementation efficiency, ML has been widely studied in short-reach optical communications for optical performance monitoring (OPM), modulation format identification (MFI), signal processing and in-building/indoor optical wireless communications. Compared with long-reach communications, the ML techniques used in short-reach communications have more stringent complexity and cost requirements, and also need to be more sensitive. In this paper, a comprehensive review of various ML methods and their applications in short-reach optical communications are presented and discussed, focusing on existing and potential advantages, limitations and prospective trends.
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URIBE-MURCIA, KAREN, and YURIY S. SHMALIY. "UFIR State Estimator for Network Systems with Two-Step Delayed and Lost Data." WSEAS TRANSACTIONS ON SIGNAL PROCESSING 17 (August 6, 2021): 81–86. http://dx.doi.org/10.37394/232014.2021.17.11.
Full textAbstract:
Wireless communication over networks often produces issues associated with delayed and missing data. In this paper, we consider one-step and two-step delays. The state space model is transformed to have no delay with new system and observation matrices. To mitigate the effect, we develop the unbiased finite impulse response (UFIR) filter, Kalman filter (KF), and game theory H∞ filter for Bernoulli-distributed delays with possible packet dropouts. A comparative study of the filters developed is provided under the uncertain noise and transmission probability. Numerical simulation is conducted employing a GPSbased tracking network system. A better performance of the UFIR filter is demonstrated experimentally