Relevant bibliographies by topics / Wireless communication systems – Data processing

Academic literature on the topic 'Wireless communication systems – Data processing'

Author: Grafiati
Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "Wireless communication systems – Data processing"

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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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Dissertations / Theses on the topic "Wireless communication systems – Data processing"

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Hui, Chui Ying. "Broadcast algorithms and caching strategies for mobile transaction processing." HKBU Institutional Repository, 2007. http://repository.hkbu.edu.hk/etd_ra/781.

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Woon, Thean Hung Wilson, and 云天恒. "Effective distributed broadcasting protocols for wireless networks." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2010. http://hub.hku.hk/bib/B45880190.

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Olson, Chandra. "Jini an investigation in distributed computing /." [Florida] : State University System of Florida, 2001. http://etd.fcla.edu/etd/uf/2001/ank7122/chandra.PDF.

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Thesis (M.E.)--University of Florida, 2001.
Title from first page of PDF file. Document formatted into pages; contains viii, 71 p.; also contains graphics. Vita. Includes bibliographical references (p. 69-70).
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Zheng, Baihua. "Indexing of location-dependent data in mobile computing environments /." View Abstract or Full-Text, 2003. http://library.ust.hk/cgi/db/thesis.pl?COMP%202003%20ZHENG.

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Thesis (Ph. D.)--Hong Kong University of Science and Technology, 2003.
Vita. Includes bibliographical references (leaves 168-180). Also available in electronic version. Access restricted to campus users.
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Gong, Yi. "Space-time coding for high data-rate wireless communications over space and frequency selective fading channels /." View Abstract or Full-Text, 2002. http://library.ust.hk/cgi/db/thesis.pl?ELEC%202002%20GONG.

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Thesis (Ph. D.)--Hong Kong University of Science and Technology, 2002.
Includes bibliographical references (leaves 105-114). Also available in electronic version. Access restricted to campus users.
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Lee, Kelvin Kai-wing. "A delay model approach to analysing the performance of wireless communications /." View abstract or full-text, 2005. http://library.ust.hk/cgi/db/thesis.pl?COMP%202005%20LEE.

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Saliaris, Ioannis R. "Real-Time data acquisition and processing of the Magnetic, Angular Rate and Gravity (MARG) sensor /." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2004. http://library.nps.navy.mil/uhtbin/hyperion/04Jun%5FSaliaris.pdf.

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Thesis (M.S. in Electrical Engineering and M.S. in Systems Engineering)--Naval Postgraduate School, June 2004.
Thesis advisor(s): Xiaoping Yun. Includes bibliographical references (p. 59-60). Also available online.
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Wang, Yinan. "An Implementation of Consensus Through Bluetooth Communication." Thesis, University of North Texas, 2014. https://digital.library.unt.edu/ark:/67531/metadc500099/.

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This thesis provides an implementation of consensus of multi-agent networked systems. Consensus problem is an important issue of distributed computing and has various algorithms and applications in the field of electronical and computer science. The consensus requests all nodes of a network reach an agreement over a certain measurement. An algorithm of convergent consensus problem is implemented through a small network of Bluetooth communication in the thesis. The connections of the Bluetooth devices are wireless, and the device nodes of the network are driven by C++ software and Winsock API. The simulation results show that the implementation completes all the requirements of the distributed consensus algorithm.
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Gurung, Sanjaya. "Integrating environmental data acquisition and low cost Wi-Fi data communication." Thesis, University of North Texas, 2009. https://digital.library.unt.edu/ark:/67531/metadc12131/.

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This thesis describes environmental data collection and transmission from the field to a server using Wi-Fi. Also discussed are components, radio wave propagation, received power calculations, and throughput tests. Measured receive power resulted close to calculated and simulated values. Throughput tests resulted satisfactory. The thesis provides detailed systematic procedures for Wi-Fi radio link setup and techniques to optimize the quality of a radio link.
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Imsuksri, Sumit. "Mobile order entry system based on the wireless technology." CSUSB ScholarWorks, 2002. https://scholarworks.lib.csusb.edu/etd-project/2265.

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The sales representatives primary duties are to attract wholesale and retail buyers and purchasing agents to their merchandise, and to address any of their client's questions or concerns. Aided by a laptop computer connected to the Internet, they can access the customer information and sell products to their customer immediately. This project, a Mobile Order Entry System using cellphones, will give sales representatives as state-of-the-art alternative in accessing anf selling products to their customers through cell phones instead of using laptop computers.
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Books on the topic "Wireless communication systems – Data processing"

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1941-, Greetham D. C., ed. Computer telephony and wireless technologies: Future directions in communications. Charleston, S.C: Computer Technology Research Corp., 1997.

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Get certified: A guide to wireless communication engineering technologies. Boca Raton: CRC Press, 2010.

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Abdelgawad, Ahmed. Resource-Aware Data Fusion Algorithms for Wireless Sensor Networks. Boston, MA: Springer US, 2012.

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Ahson, Syed. Get certified: A guide to wireless communication engineering technologies. Boca Raton, FL: CRC Press, 2009.

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A, Ahmad Ashraf M., and Ibrahim Ismail Khalil, eds. Multimedia transcoding in mobile and wireless networks. Hershey PA: Medical Information Science Reference, 2008.

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CAD of microstrip antennas for wireless applications. Boston: Artech House, 1996.

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Caro, Dick. Wireless networks for industrial automation. Research Triangle Park, NC: ISA, 2014.

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K, Das Sajal, and Bhattacharya Swapan, eds. Distributed computing: Mobile and wireless computing : 4th international workshop, IWDC 2002, Calcutta, India, December 28-31, 2002 : proceedings. New York: Springer, 2002.

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Intelligent Sensors, Sensor Networks & Information Processing Conference (2nd 2005 Melbourne, Vic.). Proceedings of the 2005 Intelligent Sensors, Sensor Networks & Information Processing Conference: 5-8 December, 2005, Melbourne, Australia. [Piscataway, N.J.]: IEEE, 2006.

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Intelligent Sensors, Sensor Networks & Information Processing Conference (2nd 2005 Melbourne, Vic.). Proceedings of the 2005 Intelligent Sensors, Sensor Networks & Information Processing Conference: 5-8 December, 2005, Melbourne, Australia. [Piscataway, N.J.]: IEEE, 2006.

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Book chapters on the topic "Wireless communication systems – Data processing"

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Chandankhede, Pankaj H., and M. M. Khanapurkar. "Design of CAN-Based Enhanced Event Data Recorder and Evidence Collecting System." In Proceedings of the International Conference on Recent Cognizance in Wireless Communication & Image Processing, 115–22. New Delhi: Springer India, 2016. http://dx.doi.org/10.1007/978-81-322-2638-3_13.

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Yılmaz, Gürkan, and Catherine Dehollain. "Wireless Data Communication." In Analog Circuits and Signal Processing, 57–80. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-49337-4_4.

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Türe, Kerim, Catherine Dehollain, and Franco Maloberti. "Wireless Data Communication." In Analog Circuits and Signal Processing, 57–90. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-40826-8_4.

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Lu, Xianguo, Chenwei Feng, Jiangnan Yuan, and Huazhi Ji. "Design of Abnormal Self-identifying Asset Tracker Based on Embedded System." In Proceeding of 2021 International Conference on Wireless Communications, Networking and Applications, 531–42. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-2456-9_54.

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AbstractThis design was aimed at the requirements of the asset tracker's working time, abnormal identification, remote alarm, information prompt, using STM32 as the core MCU for data collection and processing, with a built-in GNSS wireless communication module, three-axis acceleration sensor, and other sensors, design and implement an asset tracker device that automatically recognizes and reports abnormalities. In this design, the GPS positioning information was processed, and the positioning accuracy of the device was improved. The acceleration sensor data was performed by the Kalman filter, which could effectively judge the movement of assets. The sleep-work-sleep work mode was adopted to reduce the device's power consumption and enhance the device's endurance. The test results showed that the device could reasonably identify the device's abnormal condition, quickly locate the device, and upload the device information to the server. Each working life could be applied to the tracking of all kinds of assets.
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Gregorio, Fernando, Gustavo González, Christian Schmidt, and Juan Cousseau. "Full-Duplex Communication Systems." In Signal Processing Techniques for Power Efficient Wireless Communication Systems, 169–92. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-32437-7_7.

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Frerking, Marvin E. "Data Transmission." In Digital Signal Processing in Communication Systems, 392–489. Boston, MA: Springer US, 1994. http://dx.doi.org/10.1007/978-1-4757-4990-8_8.

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Zeng, Deze, Lin Gu, and Song Guo. "A General Communication Cost Optimization Framework for Big Data Stream Processing in Geo-Distributed Data Centers." In Wireless Networks, 79–100. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-24720-5_5.

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Sardouk, Ahmad, Rana Rahim-Amoud, Leïla Merghem-Boulahia, and Dominique Gaïti. "Information-Importance Based Communication for Large-Scale WSN Data Processing." In Wireless and Mobile Networking, 297–308. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03841-9_27.

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Siddiqui, Muazzam, Morgan C. Wang, and Joohan Lee. "Detecting Trojans Using Data Mining Techniques." In Wireless Networks, Information Processing and Systems, 400–411. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-89853-5_43.

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Zhao, Kaichuan, Chao Wu, Yuezhi Zhou, Bowen Yang, and Yaoxue Zhang. "SUO: Social Reciprocity Based Cooperative Mobile Data Traffic Communication." In Wireless Algorithms, Systems, and Applications, 56–67. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-42836-9_6.

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Conference papers on the topic "Wireless communication systems – Data processing"

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Wei, Xuefeng. "Signal Processing System in Wireless Communication." In 2021 IEEE 2nd International Conference on Big Data, Artificial Intelligence and Internet of Things Engineering (ICBAIE). IEEE, 2021. http://dx.doi.org/10.1109/icbaie52039.2021.9389961.

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Wang, Jie, Yanlei Li, Xingdong Liang, and Li Qiang. "Multidimensional Waveforms for Joint Wireless Communication and High Resolution SAR Systems." In 2019 IEEE International Conference on Signal, Information and Data Processing (ICSIDP). IEEE, 2019. http://dx.doi.org/10.1109/icsidp47821.2019.9173290.

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Yuan, Jie, and Lirong Qiu. "Rule-Based Business Data Processing in Service Coordination Systems." In 2014 Ninth International Conference on Broadband and Wireless Computing, Communication and Applications (BWCCA). IEEE, 2014. http://dx.doi.org/10.1109/bwcca.2014.82.

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Sudha, C., D. Suresh, and A. Nagesh. "An Enhanced Machine learning data aggregation model for Efficient data processing in wireless sensor networks." In 2021 6th International Conference on Communication and Electronics Systems (ICCES). IEEE, 2021. http://dx.doi.org/10.1109/icces51350.2021.9489124.

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Lyshevski, Sergey, David H. Hughes, John Malowicki, Vijit Bedi, and Vladimir V. Nikulin. "Analysis of data-driven processing in inertial measurement systems for wireless optical communication applications." In Micro- and Nanotechnology Sensors, Systems, and Applications XI, edited by M. Saif Islam and Thomas George. SPIE, 2019. http://dx.doi.org/10.1117/12.2519294.

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Katterbauer, Klemens, and Abdallah Al Shehri. "Smart MIMO-OFDM Wireless Communication Frameworks for Subsurface Wireless Sensor." In SPE Asia Pacific Oil & Gas Conference and Exhibition. SPE, 2022. http://dx.doi.org/10.2118/210750-ms.

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Abstract Wireless communication in subsurface wells and reservoir has been a major challenge in ensuring robust data transmission, and reliable communication between the sensors. Challenges from the multiple reflection as well as other external factors, makes subsurface communication a unique challenge for modern communication algorithms. While multiple-Input, multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) communication has been extensively implemented in wireless communication for signal processing, unique challenges arise in subsurface reservoirs caused by unknown formation properties and fluid movements. We present a new smart MIMO-OFDM algorithm for wireless communication in subsurface reservoirs. The new algorithm integrates both MIMO and OFDM into a deep learning framework. It optimizes the communication quality as well as reliability of the communication between the various subsurface wireless devices. The joint integration and smart adjustment leverages the power of both algorithms simultaneously, and allows significantly improved communication robustness between the wireless devices. We tested the smart MIMO-OFDM on a synthetic carbonate reservoir formation with multiple wireless sensors and wireless appliances. Fracture Robots (FracBots, about 5 mm in size) technology will be used to sense key reservoir parameters (e.g., temperature, pressure, pH and other chemical parameters). The technology is comprised of a wireless microsensor network for mapping and monitoring fracture channels in conventional and unconventional reservoirs. The system establishes wireless network connectivity via magnetic induction (MI)-based communication, since it exhibits highly reliable and constant channel conditions with sufficiently communication range inside an oil reservoir environment. The results exhibited strong performance of the wireless communication, hence providing reliable and robust subsurface wireless communication. The novel framework presents a vital component in enhancing subsurface wireless communication and achieve robust data transfer. The results outline the opportunity for wireless communication to become a critical component for subsurface communication.
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Hammood, Maytham M., and Kenji Yoshigoe. "Efficient data replication mechanism to maximize data survivability in unattended wireless sensor networks." In 2011 5th International Conference on Signal Processing and Communication Systems (ICSPCS 2011). IEEE, 2011. http://dx.doi.org/10.1109/icspcs.2011.6140883.

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Huajie Xu, Liansheng Tang, and Youbei Jin. "System architecture for sensing data processing in wireless sensor networks." In 2010 International Conference On Computer and Communication Technologies in Agriculture Engineering (CCTAE). IEEE, 2010. http://dx.doi.org/10.1109/cctae.2010.5544956.

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Nguyen, Nam, Douglas L. Jones, and Sudha Krishnamurthy. "Netcompress: Coupling network coding and compressed sensing for efficient data communication in wireless sensor networks." In 2010 IEEE Workshop On Signal Processing Systems (SiPS). IEEE, 2010. http://dx.doi.org/10.1109/sips.2010.5624815.

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Sharmila, M., and J. Jayanth. "Analysis of Channel Estimation and Equalization For Image Data Source Using Wireless Communication System." In Second International Conference on Signal Processing, Image Processing and VLSI. Singapore: Research Publishing Services, 2015. http://dx.doi.org/10.3850/978-981-09-6200-5_ip-33.

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Reports on the topic "Wireless communication systems – Data processing"

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Modlo, Yevhenii O., Serhiy O. Semerikov, Stanislav L. Bondarevskyi, Stanislav T. Tolmachev, Oksana M. Markova, and Pavlo P. Nechypurenko. Methods of using mobile Internet devices in the formation of the general scientific component of bachelor in electromechanics competency in modeling of technical objects. [б. в.], February 2020. http://dx.doi.org/10.31812/123456789/3677.

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Abstract:
An analysis of the experience of professional training bachelors of electromechanics in Ukraine and abroad made it possible to determine that one of the leading trends in its modernization is the synergistic integration of various engineering branches (mechanical, electrical, electronic engineering and automation) in mechatronics for the purpose of design, manufacture, operation and maintenance electromechanical equipment. Teaching mechatronics provides for the meaningful integration of various disciplines of professional and practical training bachelors of electromechanics based on the concept of modeling and technological integration of various organizational forms and teaching methods based on the concept of mobility. Within this approach, the leading learning tools of bachelors of electromechanics are mobile Internet devices (MID) – a multimedia mobile devices that provide wireless access to information and communication Internet services for collecting, organizing, storing, processing, transmitting, presenting all kinds of messages and data. The authors reveals the main possibilities of using MID in learning to ensure equal access to education, personalized learning, instant feedback and evaluating learning outcomes, mobile learning, productive use of time spent in classrooms, creating mobile learning communities, support situated learning, development of continuous seamless learning, ensuring the gap between formal and informal learning, minimize educational disruption in conflict and disaster areas, assist learners with disabilities, improve the quality of the communication and the management of institution, and maximize the cost-efficiency. Bachelor of electromechanics competency in modeling of technical objects is a personal and vocational ability, which includes a system of knowledge, skills, experience in learning and research activities on modeling mechatronic systems and a positive value attitude towards it; bachelor of electromechanics should be ready and able to use methods and software/hardware modeling tools for processes analyzes, systems synthesis, evaluating their reliability and effectiveness for solving practical problems in professional field. The competency structure of the bachelor of electromechanics in the modeling of technical objects is reflected in three groups of competencies: general scientific, general professional and specialized professional. The implementation of the technique of using MID in learning bachelors of electromechanics in modeling of technical objects is the appropriate methodic of using, the component of which is partial methods for using MID in the formation of the general scientific component of the bachelor of electromechanics competency in modeling of technical objects, are disclosed by example academic disciplines “Higher mathematics”, “Computers and programming”, “Engineering mechanics”, “Electrical machines”. The leading tools of formation of the general scientific component of bachelor in electromechanics competency in modeling of technical objects are augmented reality mobile tools (to visualize the objects’ structure and modeling results), mobile computer mathematical systems (universal tools used at all stages of modeling learning), cloud based spreadsheets (as modeling tools) and text editors (to make the program description of model), mobile computer-aided design systems (to create and view the physical properties of models of technical objects) and mobile communication tools (to organize a joint activity in modeling).
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Federal Information Processing Standards Publication: data communication systems and services user-oriented performance parameters. Gaithersburg, MD: National Bureau of Standards, 1985. http://dx.doi.org/10.6028/nbs.fips.144.

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Federal Information Processing Standards Publication: data communication systems and services user-oriented performance measurement methods. Gaithersburg, MD: National Bureau of Standards, 1988. http://dx.doi.org/10.6028/nist.fips.155-1988.

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Federal Information Processing Standards Publication: for information systems - data communication systems and services - measurement method for user-oriented performance evaluation. Gaithersburg, MD: National Bureau of Standards, 1986. http://dx.doi.org/10.6028/nbs.fips.155.

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