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1
Singh, Kamred Udham, Ankit Kumar, Linesh Raja, Vikas Kumar, Alok Kumar Singh kushwaha, Neeraj Vashney, and Manoj Chhetri. "An Artificial Neural Network-Based Pest Identification and Control in Smart Agriculture Using Wireless Sensor Networks." Journal of Food Quality 2022 (May 17, 2022): 1–12. http://dx.doi.org/10.1155/2022/5801206.
Повний текст джерелаАнотація:
Despite living in a rural country, farmers in India face several challenges. Every year, they suffer significant losses due to agricultural insect infestation. These losses are primarily the result of inadequate field surveillance, crop diseases, and ineffective pesticide management. We need cutting-edge technology that is constantly evolving to maintain control over such major concerns responsible for output reductions year after year. Wireless sensor networks address all of these issues; in fact, wireless sensor network technology is quickly becoming the backbone of modern precision agriculture. We propose a strategy for pest monitoring using wireless sensor networks in this study by simply recognizing insect behaviour using various sensors. We proposed a rapid and accurate insect detection and categorization approach based on five important crops and associated insect pests. This method examines insect behaviour by collecting data from sensors placed in the field. The results show that the proposed work improves the accuracy of the existing work by 3.9 percent.
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Bok, Kyoungsoo, Eunkyung Ryu, Junho Park, Jaijin Jung, and Jaesoo Yoo. "Multimedia congestion control in wireless sensor networks." Computer Science and Information Systems 12, no. 2 (2015): 801–21. http://dx.doi.org/10.2298/csis141009027b.
Повний текст джерелаАнотація:
In this paper, we propose a new congestion control scheme to minimize data loss and maintain data quality in wireless multimedia sensor networks. The proposed scheme extracts and transfers dynamic regions by considering monitoring characteristics over multimedia sensor network environments to reduce the transferred data. Furthermore, it can reduce the packet size by deleting and transferring low-priority bit data by considering multimedia data characteristics during congestion situations to minimize packet loss. To show the superiority of the proposed scheme, we compare it with the existing congestion control schemes through simulation.
3
Bruneo, D., A. Puliafito, and M. Scarpa. "Energy control in dependable wireless sensor networks: a modelling perspective." Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability 225, no. 4 (July 20, 2011): 424–34. http://dx.doi.org/10.1177/1748006x10397845.
Повний текст джерелаАнотація:
Wireless sensor networks (WSN) are composed of a large number of tiny sensor nodes randomly distributed over a geographical region. In order to reduce power consumption, battery-operated sensors undergo cycles of sleeping–active periods that reduce their ability to send/receive data. Starting from the Markov reward model theory, this paper presents a dependability model to analyse the reliability of a sensor node. Also, a new dependability parameter is introduced, referred to as producibility, which is able to capture the capability of a sensor to accomplish its mission. Two different model solution techniques are proposed, one based on the evaluation of the accumulated reward distribution and the other based on an equivalent model based on non-Markovian stochastic Petri nets. The obtained results are used to investigate the dependability of a whole WSN taking into account the presence of redundant nodes. Topological aspects are taken into account, providing a quantitative comparison among three typical network topologies: star, tree, and mesh. Numerical results are provided in order to highlight the advantages of the proposed technique and to demonstrate the equivalence of the proposed approaches.
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Tati, Reza, Fariborz Ahmadi, Farhad Jafari, and Mostafa Tofighi. "Quality of Service Support in Wireless Sensor Networks." Key Engineering Materials 467-469 (February 2011): 2078–84. http://dx.doi.org/10.4028/www.scientific.net/kem.467-469.2078.
Повний текст джерелаАнотація:
All of middlewares of modern wireless sensor networks has this weakness that many of these middlewares have the ability to simultaneous support from limit amounts of quality of service parameters. Our aim is simultaneous and dynamic support from several quality of service measure in middleware layer with obtained weight coefficients. In this paper, we add a layer of Quality of service management to middleware, in which this layer has duty of service of Quality of service management and control. This layer answers demanded Quality of service improvement from application by wireless sensor network.
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Shiltagh, Nadia, and Zainab Faisal. "Traffic Management in Wireless Sensor Network Based on Modified Neural Networks." Iraqi Journal for Computers and Informatics 41, no. 1 (December 31, 2014): 4–8. http://dx.doi.org/10.25195/ijci.v41i1.90.
Повний текст джерелаАнотація:
Wireless Sensor Networks (WSNs) are event-driven network systems consist of many sensors node which aredensely deployed and wirelessly interconnected that allow retrieving of monitoring data. In Wireless sensor network,whenever an event is detected, the data related to the event need to be sent to the sink node (data collection node). Sink nodeis the bottleneck of network there may be chance for congestion due to heavy data traffic. Due to congestion, it leads to dataloss; it may be important data also. To achieve this objective, soft computing based on Neural Networks (NNs) CongestionController approach is proposed. The NN is activated using wavelet activation function that is used to control the traffic ofthe WSN. The proposed approach which is called as Modified Neural Network Wavelet Congestion Control (MNNWCC), hasthree main activities: the first one is detecting the congestion as congestion level indications; the second one is estimated thetraffic rate that the upstream traffic rate is adjusted to avoid congestion in next time, the last activates of the proposedapproach is improved the Quality of Services (QoS), by enhancement the Packet Loss Ratio (PLR), Throughput (TP), BufferUtilization (BU) and Network Energy (NE) . The simulation results show that the proposed approach can avoid the networkcongestion and improve the QoS of network.
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Jin, Yong, Jian Cai, Huan Dai, Kaijian Xia, and Ping Xu. "Lightweight QoE Driven and Invulnerability Guarantee Opportunistic Control Scheme for Wireless Sensor Networks." International Journal of Online Engineering (iJOE) 12, no. 08 (August 30, 2016): 19. http://dx.doi.org/10.3991/ijoe.v12i08.5726.
Повний текст джерелаАнотація:
This paper proposed the lightweight QoE driven adaptive invulnerability wireless communication control method, including the wireless communication terminal equipment with invulnerability antenna. According to the quality of wireless network channel quality, the lightweight QoE driven scheme was developed. According to user needs, the quality of the network, survivable ability of wireless communication terminal and wireless communication survivability requirements, we proposed three matching rules by considering the wireless hop number, data size and life cycle. The experiments demonstrated that the proposed scheme can optimize wireless communication terminal equipment and wireless opportunistic communication network construction, guarantee the user experience quality and improve wireless communication network survivability.
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P.Barde, Vaishali. "A PERUSAL STUDY OF METHODS FOR ENERGY EFFICIENT MULTI OBJECT TRACKING IN WIRELESS SENSOR NETWORKS." International Research Journal of Computer Science 8, no. 12 (December 31, 2021): 279–82. http://dx.doi.org/10.26562/irjcs.2021.v0812.002.
Повний текст джерелаАнотація:
Wireless sensor networks (WSNs) has various applications in different areas such as object detection and target tracking, industrial process monitoring, environmental monitoring, wildlife monitoring, Robot control and security applications for buildings. In WSNs, Energy efficiency is one of the important research issues, as it determines the lifetime of the sensor network deployed for the specific applications. Object tracking is one of the dominant applications of wireless sensor networks and many energy-efficient multi object tracking algorithms are used for precise or exact object tracking. The main focus this paper is the perusal study of all different energy-efficient object tracking methods and algorithms for Wireless Sensor Network.
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Li, Xiaomin, Lixue Zhu, Xuan Chu, and Han Fu. "Edge Computing-Enabled Wireless Sensor Networks for Multiple Data Collection Tasks in Smart Agriculture." Journal of Sensors 2020 (February 25, 2020): 1–9. http://dx.doi.org/10.1155/2020/4398061.
Повний текст джерелаАнотація:
At present, precision agriculture and smart agriculture are the hot topics, which are based on the efficient data collection by using wireless sensor networks (WSNs). However, agricultural WSNs are still facing many challenges such as multitasks, data quality, and latency. In this paper, we propose an efficient solution for multiple data collection tasks exploiting edge computing-enabled wireless sensor networks in smart agriculture. First, a novel data collection framework is presented by merging WSN and edge computing. Second, the data collection process is modeled, including a plurality of sensors and tasks. Next, according to each specific task and correlation between task and sensors, on the edge computing server, a double selecting strategy is established to determine the best node and sensor network that fulfills quality of data and data collection time constraints of tasks. Furthermore, a data collection algorithm is designed, based on set values for quality of data. Finally, a simulation environment is constructed where the proposed strategy is applied, and results are analyzed and compared to the traditional methods. According to the comparison results, the proposal outperforms the traditional methods in metrics.
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Shakir, Mustafa, Obaid Ur Rehman, Zeeshan Abbas, Abdullah Masood, and Wajeeha Shahid. "Evaluation of Video Quality in Wireless Multimedia Sensor Networks." International Journal of Electrical and Computer Engineering (IJECE) 6, no. 1 (February 1, 2016): 223. http://dx.doi.org/10.11591/ijece.v6i1.7573.
Повний текст джерелаАнотація:
<p class="Default">Simulating wireless sensor networks; there implementation and evaluation, require the use of a discrete event simulator. Omnet++ is quite a powerful simulator which supports concise and easy modeling of wired as well as wireless sensors environment. Scenarios involving multimedia transmissions with characteristics of video quality control and evaluation must be computed on the basis of Quality of Experience which relies on user’s perception to maintain the video quality. For the multimedia growth and awareness of future WMSNs, it is quite necessary that the performance should be tested for different types of radio models. So varying the radio parameters may allow for the optimization and improvement of the video quality. In this paper we have provided a test bench for the easy evaluation and optimization of the performance of WMSNs using different radio models. The performance is evaluated based on the QoE metrics; i.e. PSNR(Peak Signal-to-Noise ratio) and MoS(Mean Opinion Score), which depend on user’s perception to maintain the video quality.</p>
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Shakir, Mustafa, Obaid Ur Rehman, Zeeshan Abbas, Abdullah Masood, and Wajeeha Shahid. "Evaluation of Video Quality in Wireless Multimedia Sensor Networks." International Journal of Electrical and Computer Engineering (IJECE) 6, no. 1 (February 1, 2016): 223. http://dx.doi.org/10.11591/ijece.v6i1.pp223-234.
Повний текст джерелаАнотація:
<p class="Default">Simulating wireless sensor networks; there implementation and evaluation, require the use of a discrete event simulator. Omnet++ is quite a powerful simulator which supports concise and easy modeling of wired as well as wireless sensors environment. Scenarios involving multimedia transmissions with characteristics of video quality control and evaluation must be computed on the basis of Quality of Experience which relies on user’s perception to maintain the video quality. For the multimedia growth and awareness of future WMSNs, it is quite necessary that the performance should be tested for different types of radio models. So varying the radio parameters may allow for the optimization and improvement of the video quality. In this paper we have provided a test bench for the easy evaluation and optimization of the performance of WMSNs using different radio models. The performance is evaluated based on the QoE metrics; i.e. PSNR(Peak Signal-to-Noise ratio) and MoS(Mean Opinion Score), which depend on user’s perception to maintain the video quality.</p>
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Alnawayseh, Saif E. A., Waleed T. Al-Sit, and Taher M. Ghazal. "Smart Congestion Control in 5G/6G Networks Using Hybrid Deep Learning Techniques." Complexity 2022 (October 25, 2022): 1–10. http://dx.doi.org/10.1155/2022/1781952.
Повний текст джерелаАнотація:
With the mobility and ease of connection, wireless sensor networks have played a significant role in communication over the last few years, making them a significant data carrier across networks. Additional security, lower latency, and dependable standards and communication capability are required for future-generation systems such as millimeter-wave LANs, broadband wireless access schemes, and 5G/6G networks, among other things. Effectual congestion control is regarded as of the essential aspects of 5G/6G technology. It permits operators to run many network illustrations on a single organization while maintaining higher service quality. A sophisticated decision-making system for arriving network traffic is necessary to confirm load balancing, limit network slice letdown, and supply alternative slices in slice letdown or congestion. Because of the massive amount of data being generated, artificial intelligence (AI) and machine learning (ML) play a vital role in reconfiguring and improving a 5G/6G wireless network. In this research work, a hybrid deep learning method is being applied to forecast optimal congestion improvement in the wireless sensors of 5G/6G IoT networks. This proposed model is applied to a training dataset to govern the congestion in a 5G/6G network. The proposed approach provided promising results, with 0.933 accuracy, and 0.067 miss rate.
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Ganesan, Sangeetha, Vijayalakshmi Muthuswamy, Ganapathy Sannasi, and Kannan Arputharaj. "A Comprehensive Analysis of Congestion Control Models in Wireless Sensor Networks." International Journal of Strategic Information Technology and Applications 9, no. 4 (October 2018): 15–37. http://dx.doi.org/10.4018/ijsita.2018100102.
Повний текст джерелаАнотація:
Congestion control is an important factor for performance improvement in wireless sensor networks (WSNs). Congestion occurs due to various reasons including a variation in the data rate between incoming and outgoing links, buffer size, flooding attacks and multiple inputs and minimum output capability. Various outcomes of congestion in sensor networks include immense packet loss or packet drop, fast energy depletion, unfairness across the network, reduced node performance and increased delay in packet delivery. Hence, there is an extreme need to check channel congestion in order to enhance the performance with better congestion management. The job of choosing a suitable congestion control technique is a challenging task for the network designer. In this article, the authors traverse through the underlying conceptual ideas on congestion control schemes which come under six unique models. This article highlights a survey on the existing works done so far on congestion control domains in sensor networks. A comparative analysis based on Quality of Service parameters has been discussed.
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Abbasov, Е. М. "Indicators of wireless technologies for monitoring the quality and management." Informacionno-technologicheskij vestnik 11, no. 1 (March 30, 2017): 14–24. http://dx.doi.org/10.21499/2409-1650-2017-1-14-24.
Повний текст джерелаАнотація:
The problems of integration of the various wireless technologies, for-consists in the provision of required transmission speed and the transmission of information over a considerable distance at low power sensor nodes transmitters wireless Internet-water network for remote monitoring. Analyzed the integration of wireless LAN standard IEEE 802.11n/g and Bluetooth. Determined Graphic analytical dependence-dence, the defining characteristics of the data rate for wireless IEEE 802.11n / g networks. It analyzes the main shortcomings of BSS associated with ef cient use of batteries; the basic Metody reduce energy consumption for WSN based on the ZigBee technology, based on the planning schemes of awakening and data collection schemes. The possibilities MeshLogic technology solutions for the monitoring and control tasks that are critical to BPE-autonomous work Meni sensors.
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Zhijun, Yang. "Analysis of Asymmetric Polling Control System in Wireless Sensor Networks." International Journal of Performability Engineering 15, no. 10 (2019): 2783. http://dx.doi.org/10.23940/ijpe.19.10.p25.27832793.
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Yang, Shun, Xian’ai Long, Hao Peng, and Haibo Gao. "Optimization of Heterogeneous Clustering Routing Protocol for Internet of Things in Wireless Sensor Networks." Journal of Sensors 2022 (January 19, 2022): 1–9. http://dx.doi.org/10.1155/2022/4327414.
Повний текст джерелаАнотація:
Wireless sensor network technology is widely used in various modern scenarios, and various industries have higher and higher requirements for the performance indicators of wireless sensor networks. A reasonable and effective layout of wireless sensor networks is conducive to the monitoring of environmental quality, various transactions, and status and transmits a large number of sensing data to the data aggregation center for processing and analysis. However, the operation and development of traditional wireless sensor networks are extremely dependent on the energy supply of the network. When the corresponding supply energy is limited, the operation life of the corresponding wireless sensor network will be greatly reduced. Based on the above situation, this paper proposes a nonuniform clustering routing protocol optimization algorithm from the energy loss of cluster head and clustering form algorithm in wireless sensor networks. At the level of cluster head calculation in wireless sensor networks, firstly, based on the adaptive estimation clustering algorithm, the core density is used as the estimation element to calculate the cluster head radius of wireless sensor networks. At the same time, this paper creatively proposes a fuzzy logic algorithm to further solve the uncertainty of cluster head selection, integrate the residual energy of cluster head nodes, and finally complete the reasonable distribution of cluster heads and realize the balance of node energy consumption. In order to further reduce the algorithm overhead of transmission between cluster heads and realize energy optimization, an intercluster routing optimization algorithm based on the ant colony algorithm is proposed. The pheromone is updated and disturbed by introducing chaotic mapping to ensure the optimal solution of the algorithm, and the optimal path is selected from the perspective of energy dispersion coefficient and distance coefficient, so as to optimize the energy consumption between cluster heads. The experimental results show that compared with the traditional algorithm, the proposed nonuniform clustering routing protocol optimization algorithm prolongs the corresponding life cycle by 75% and reduces the total network energy consumption by about 20%. Therefore, the algorithm achieves the purpose of optimizing network energy consumption and prolonging network life to a certain extent and has certain practical value.
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Antonopoulos, Angelos, and Christos Verikoukis. "Network-Coding-Based Cooperative ARQ Medium Access Control Protocol for Wireless Sensor Networks." International Journal of Distributed Sensor Networks 8, no. 1 (September 12, 2011): 601321. http://dx.doi.org/10.1155/2012/601321.
Повний текст джерелаАнотація:
We introduce a novel Medium Access Control (MAC) protocol for Automatic Repeat reQuest-based (ARQ-based) cooperative wireless sensor networks. Using network coding techniques, we achieve a better network performance in terms of energy efficiency without compromising the offered Quality of Service (QoS). The proposed solution is compared to other cooperative schemes, while analytical and simulation results are provided to evaluate our protocol.
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Yang, Xiaoqing. "A Quality of Service Routing Algorithm in Wireless Sensor Networks." International Journal of Online Engineering (iJOE) 13, no. 07 (July 21, 2017): 47. http://dx.doi.org/10.3991/ijoe.v13i07.7280.
Повний текст джерелаАнотація:
<span style="font-family: 'Times New Roman',serif; font-size: 10pt; mso-ansi-language: EN-US; mso-fareast-font-family: 宋体; mso-fareast-language: ZH-CN; mso-bidi-language: AR-SA;" lang="EN-US">An Quality of Service(QOS) secure routing algorithm based on ant colony optimization is put forward to solve a variety of security problems in wireless sensor networks. The algorithm combines the ant colony optimization algorithm with the cr</span><span style="font-family: 'Times New Roman',serif; font-size: 10pt; mso-ansi-language: EN-US; mso-fareast-font-family: 'Times New Roman'; mso-fareast-language: DE; mso-bidi-language: AR-SA;" lang="EN-US">edit evaluation mechanism, and introduces the node 's credit as the control factor to obtain better security performance. The algorithm first cuts the network topology according to the QOS requirements, kicks out the nodes that do not meet the QOS requirements, and then quickly converges the route to the optimal route according to the ant colony optimization method. Finally, the security analysis of the algorithm is carried out from various aspects of network layer attack.</span><span style="font-family: 'Times New Roman',serif; font-size: 10pt; mso-ansi-language: EN-US; mso-fareast-font-family: 宋体; mso-fareast-language: ZH-CN; mso-bidi-language: AR-SA;" lang="EN-US"> The experimental results show that the algorithm has very good performance in wireless sensor networks. As a result, it is concluded that it can be widely applied in wireless sensor networks.</span>
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Wang, Ming Wei, Yue Wang, and Qiang Hua Li. "Deployment of Wireless Sensor Networks for Air Quality Monitoring." Advanced Materials Research 712-715 (June 2013): 1851–55. http://dx.doi.org/10.4028/www.scientific.net/amr.712-715.1851.
Повний текст джерелаАнотація:
At present, the effective technical means for air quality forecast and air pollution control is imperative for China environment utilities because of the increasing and serious environment pollution problems. In this paper, we discuss an air quality monitoring scenario which utilizes the wireless sensor network (WSN) to monitor the air quality of the transportation, industry and residential areas. Using the WSN, it is possible to deploy a large number of sensor nodes randomly distributed throughout the monitored area to capture environmental information of CO2, NO, NO2 and total suspended particulates. To achieve this goal, a special WSNs architecture is proposed, where the sensor nodes and coordinator nodes are designed by using ZigBee-based prototype wireless network, using GPRS to transmit the data from coordinator node to monitoring center, and designing the monitoring center server accessed from remote terminals through internet. In addition, the open source software (OSS) is proposed to design the database and website of the server. The designed air quality monitoring system reduces the cost of network installation and maintenance and provides a data delivery service for the air quality monitoring service in a timely and reliable manner.
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R, Karthik, Nagaraju J, and Mahendra Vucha. "Distributed Optimal Relay Selection in Wireless Sensor Networks." Indonesian Journal of Electrical Engineering and Computer Science 7, no. 1 (July 1, 2017): 71. http://dx.doi.org/10.11591/ijeecs.v7.i1.pp71-74.
Повний текст джерелаАнотація:
<p>In wireless distributed sensor networks, one open problem is how to guarantee the reliable relay selection based on the quality of services diversity. To address this problem, we focus on the reliable adaptive relay selection approach and adaptive QoS supported algorithm, based on which we present a Markov chain model, in consideration of different packet states and error control algorithm assignment. The mathematical analyses and MATLAB simulation results show that the proposed relay selection approach could perform better in terms of saturation throughput, reliability, and energy efficiency, compared with the traditional approaches. More importantly, the quality of real-time multimedia streaming is improved significantly, in terms of decodable frame ratio and delay.</p>
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Zhong , Liang, Shizhong Zhang , Yidu Zhang , Guang Chen , and Yong Liu . "Joint Acquisition Time Design and Sensor Association for Wireless Sensor Networks in Microgrids." Energies 14, no. 22 (November 19, 2021): 7756. http://dx.doi.org/10.3390/en14227756.
Повний текст джерелаАнотація:
Wireless sensor networks are used to monitor the operating status of the microgrids, which can effectively improve the stability of power supplies. The topology control is a critical issue of wireless sensor networks, which affects monitoring data transmission reliability and lifetime of wireless sensor networks. Meanwhile, the data acquisition accuracy of wireless sensor networks has a great impact on the quality of monitoring. Therefore, this paper focuses on improving wireless sensor networks data acquisition satisfaction and energy efficiency. A joint acquisition time design and sensor association optimization algorithm is proposed to prolong the lifetime of wireless sensor networks and enhance the stability of monitoring, which considers the cluster heads selection, data collection satisfaction and sensor association. First, a multi-constrained mixed-integer programming problem, which combines acquisition time design and sensor association, is formulated to maximize data acquisition satisfaction and minimize energy consumption. To solve this problem, we propose an iterative algorithm based on block coordinate descent technology. In each iteration, the acquisition time is obtained by Lagrangian duality. After that, the sensor association is modeled as a 0–1 knapsack problem, and the three different methods are proposed to solve it. Finally, the simulations are provided to demonstrate the efficiency of the algorithm proposed in this paper.
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ZHOU, JUEJIA, and CHUNDI MU. "DENSITY DOMINATION OF QoS CONTROL IN WIRELESS SENSOR NETWORKS." International Journal of Information Acquisition 03, no. 04 (December 2006): 283–300. http://dx.doi.org/10.1142/s0219878906001039.
Повний текст джерелаАнотація:
Wireless sensor networks (WSN) are a kind of networks made of tiny sensing embedded devices with processors, memories and short-range wireless communication modules. They are planted for sensing the area which people mostly care about and to send data of light, pressure, sound, and so on, back to people to make further analyses. Differing from normal linear networks, WSN are usually restricted by energy store, plethoric information flow, and short communication distance. So, there are many research hotpots in WSN such as routing, economization of energy, adaptive self-configuration, etc. Among these aspects, the area of quality of service (QoS) remains largely open. This is due to that the optimal alive sensor nodes number is difficult to determine in a certain focused area which satisfies the requirement of QoS. In order to make an optimal number of nodes to power up in a focused area, the paper proposes the density domination strategy with location information and localized information based on the modified Gur Game which is embedded with gradient mechanism. In the strategies, the base station receives the QoS feedback and gives the dynamic density domination information. The simulation results about the two kinds of density domination strategies are given. The results show that both of the strategies can effectively control the density of power-up nodes and meet the requirement of QoS.
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Wu, Hua Rui, and Li Zhu. "A Wireless Sensor Networks Monitoring Device Based on ZigBee." Applied Mechanics and Materials 513-517 (February 2014): 2077–81. http://dx.doi.org/10.4028/www.scientific.net/amm.513-517.2077.
Повний текст джерелаАнотація:
environmental monitoring should have real-time, reliability and sustainability,the article design a device which can meet the request of environmental monitoring. the wireless sensor networks device based on ZigBee is described in detailed, meanwhile, a new routing strategy based on LEACH algorithm is proposed,implement of the strategy is described in the thesis.The new routing strategy is suitable for the long time monitoring, and realized the establishment of network cluster head nodes, broadcasting, selection and scheduling. According to the distance and energy consumption of nodes make a decision that the node joining a cluster or as a separate node directly communicate with the control node.The simulation results show that the device can real-time collection and remote transmission environmental temperature, humidity and other information, reduce energy consumption of data transmission, Prolong the network life-time, improve the network quality, and ensure the wireless sensor networks stable wrok,realize the network optimization.
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Tang, Shensheng, and Brenten Davis. "Analysis and control of quality of information (QoI) for wireless sensor networks." International Journal of Wireless and Mobile Computing 8, no. 2 (2015): 103. http://dx.doi.org/10.1504/ijwmc.2015.068629.
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Yi, Jun Min, and Dong Kun Noh. "Adaptive Video-Data Quality Control for Solar-Energy-Harvesting Wireless Sensor Networks." International Journal of Multimedia and Ubiquitous Engineering 9, no. 1 (January 31, 2014): 153–62. http://dx.doi.org/10.14257/ijmue.2014.9.1.15.
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Zhang, Peilin, Mohamed Abdelaal, and Oliver Theel. "Quality of service control in proactive wireless sensor networks via lifetime planning." International Journal of Sensor Networks 26, no. 4 (2018): 252. http://dx.doi.org/10.1504/ijsnet.2018.090486.
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Zhang, Peilin, Oliver Theel, and Mohamed Abdelaal. "Quality of service control in proactive wireless sensor networks via lifetime planning." International Journal of Sensor Networks 26, no. 4 (2018): 252. http://dx.doi.org/10.1504/ijsnet.2018.10011722.
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Bhar, Jamila, and Imen Bouazzi. "Elastic hybrid MAC protocol for wireless sensor networks." International Journal of Electrical and Computer Engineering (IJECE) 11, no. 5 (October 1, 2021): 4174. http://dx.doi.org/10.11591/ijece.v11i5.pp4174-4182.
Повний текст джерелаАнотація:
The future is moving towards offering multiples services based on the same technology. Then, billions of sensors will be needed to satisfy the diversity of these services. Such considerable amount of connected devices must insure efficient data transmission for diverse applications. Wireless sensor network (WSN) represents the most preferred technology for the majority of applications. Researches in medium access control (MAC) mechanism have been of significant impact to the application growth because the MAC layer plays a major role in resource allocation in WSNs. We propose to enhance a MAC protocol of WSN to overcome traffic changes constraints. To achieve focused goal, we use elastic hybrid MAC scheme. The main interest of the developed MAC protocol is to design a medium access scheme that respect different quality of services (QoS) parameters needed by various established traffic. Simulation results show good improvement in measured parameters compared to typical protocol.
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Dr. Sukhkirandeep Kaur, Makul Mahajan,. "An Intelligent Path Evaluation Algorithm for Congestion Control in Wireless Sensor Networks." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 6 (April 5, 2021): 3106–14. http://dx.doi.org/10.17762/turcomat.v12i6.6953.
Повний текст джерелаАнотація:
In Wireless Sensor Networks (WSNs), congestion occurs when the traffic load on the node reaches obvious network channel power and is considered as a prominent problem. So it is highly essential to identify, prevent and fix congestion when taking into account the network’s restricted re- sources. If congestion in the network is not managed correctly, it can lead to significant loss of QoS parameters, such as decreasing network throughput, increasing energy usage, and decreasing the distribution ratio of packets at the destination or sink node. In this article, we have formulated an algorithm to manage congestion using a modified ant colony algorithm that considers the residual energy, buffer occupancy and bandwidth of the neighbour node for selecting the best node to route the traffic that needs strict QoS requirements. For routing the traffic, there may be a variety of neighbour nodes exists in the network ,and if congestion occurs at any selected neighbour node the algorithm will rework to check the quality of rest of the neighbor nodes by calculating a path preference probability metric. The neighbour node with maximum path preference probability will be selected for routing the data packets belonging to real-time traffic that have stringent QoS. The proposed algorithm was simulated and tested using NS 2.33 and it was found that as opposed to the standard AntSense algorithm, the proposed algorithm is capable of achieving lower average energy consumption and packet loss ratio respectively with higher throughput.
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Zhang, Yajun, Gang Qiu, Meng Liu, and Hongjun Wang. "High-density data transmission and scheduling method in wireless sensor networks based on Wi-Fi." International Journal of Distributed Sensor Networks 16, no. 7 (July 2020): 155014772094341. http://dx.doi.org/10.1177/1550147720943414.
Повний текст джерелаАнотація:
In wireless sensor network, the storage amount of information is high, and the transmission and scheduling of control information is reasonable. The node communication model, network structure model, and energy consumption model are constructed. On this basis, the high-density data in wireless sensor network are scheduled to optimize the time for nodes to perform tasks. The nodes in the network are fully scheduled to control the generation time of packets in the network and the generation time of packets in the network. Experimental results show that in different iterations, the proposed method has lower node delay and node energy consumption, with values less than 0.2 and 2, respectively, and the maximum data fusion quality can reach 98, with high fusion benefits, so as to improve the transmission and scheduling efficiency and quality of high-density data in wireless sensor network.
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Niu, Xiang Jie, Yan E. Duan, and Hua Li. "The Design of Online Water Pollution Monitoring System for Poultry Rearing." Advanced Materials Research 898 (February 2014): 730–33. http://dx.doi.org/10.4028/www.scientific.net/amr.898.730.
Повний текст джерелаАнотація:
This paper proposes the construction of real-time online water pollution monitoring system for poultry rearing which applies network nodes in the Wireless Sensor Network to monitor the water quality in the poultry rearing areas. The wireless packet communications technology and broadband services are used to transmit the data in long distance. The system can fulfill the functions of online real-time water quality inquire via Web, management control, data collection, and alert. The system software designs the Web network optimization protocols, system monitoring platform, long-distance parameter configuration, and driver programs. The simulation and experiment illustrate the system can achieve 100% successful communication rates. The access speeds in the networks are 5~8 times of those in traditional network. The wireless sensor networks and the long-time monitoring can work normally and reliably in which the speeds can meet the requirements for real-time monitoring. Its suitable for the online real-time water pollution monitoring in the poultry rearing areas.
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Zhang, Jie, Wu Jun Yao, and Hai Bin Yang. "An Adaptive Error Control Scheme in Wireless Sensor Networks Based on LQI." Applied Mechanics and Materials 263-266 (December 2012): 915–19. http://dx.doi.org/10.4028/www.scientific.net/amm.263-266.915.
Повний текст джерелаАнотація:
Aiming at the character of high bit error rate and energy constraints on WSN, this paper proposed an adaptive error control scheme based on link quality indicator(LQI). The PHY specification of IEEE802.15.4 provided accurate measurement of channel quality for WSN, according to the quantitative relationship between LQI and bit error rate, this paper divided the channel quality into eight levels non-uniformly, furthermore, eight different BCH code were chosen correspondingly. The motes choose optimal BCH code as its error correction scheme in real time. Experimental results show the scheme is high in energy efficiency, meanwhile, drops the error probability effectively.
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Fadhil, Heba M., Muna M. Hummady, Noor Q. Makhool, and Zinah O. Dawood. "Energy Aware Scheme for Underwater Wireless Sensor Networks." International Journal of Wireless and Ad Hoc Communication 5, no. 1 (2022): 08–21. http://dx.doi.org/10.54216/ijwac.050101.
Повний текст джерелаАнотація:
The development of wireless sensor networks (WSNs) in the underwater environment leads to underwater WSN (UWSN). It has severe impact over the research field due to its extensive and real-time applications. However effective execution of underwater WSNs undergoes several problems. The main concern in the UWSN is sensor nodes’ energy depletion issue. Energy saving and maintaining quality of service (QoS) becomes highly essential for UWASN because of necessity of QoS application and confined sensor nodes (SNs). To overcome this problem, numerous prevailing methods like adaptive data forwarding techniques, QoS-based congestion control approaches, and various methods have been devised with maximum throughput and minimum network lifespan. This study introduces a novel Seeker Optimization based Energy Aware Clustering Scheme for Underwater Wireless Sensor Networks (SOEACS-UWN). The presented SOEACS-UWN model follows the operation on a collection of solutions named search population (i.e., human team) and considered optimization procedure as a searching process of optimum solutions via human teams. The SOEACS-UWN model constructs a fitness function for effectual CH choices using diverse variables namely distance, residual energy, node degree, centrality, and link quality. The simulation analysis of the SOEACS-UWN model is tested and the outcomes were investigated under diverse aspects. The experimental outcomes demonstrated the supremacy of the SOEACS-UWN model over other approaches.
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Shivanna, Preetha, and Sheela Samudrala Venkatesiah. "Secure Multimodal Authentication Scheme for Wireless Sensor Networks." International Journal of Safety and Security Engineering 11, no. 6 (December 28, 2021): 653–61. http://dx.doi.org/10.18280/ijsse.110605.
Повний текст джерелаАнотація:
In the current era, it is necessary to device authorization and authentication techniques to secure resources in information technology. There are several methods to substantiate authorization and authentication. User authentication is essential for authenticating user access control in WSNs. Biometric recognition error, lack of anonymity and vulnerability to attacks, user verification problem, revocation problem and disclosure of session key by the gateway node are some of the security flaws encountered. In this study, a Multimodal Authentication Scheme for Wireless Sensor Networks (WSN-MAS) is proposed to authenticate legitimate users. The main objective is the fusion of fingerprint and iris biometric features at feature level to enable additional accuracy to verify and match user identity with stored templates. In this paper, multimodal biometric features are used for authentication to improve performance, reduce system error rates to achieve better security in WSN.
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Wang, Yile, Hanbing Li, Brian Sheng-Xian Teo, and Adam Amril Jaharadak. "Image Detection System Based on Smart Sensor Network and Ecological Economy in the Context of Fine Agriculture." Journal of Sensors 2022 (July 11, 2022): 1–12. http://dx.doi.org/10.1155/2022/8953914.
Повний текст джерелаАнотація:
In this paper, an in-depth study and analysis of the ecological economy of fine agriculture are carried out using image detection methods of smart sensor networks. The analog signal output from the wireless sensor network is filtered and thresholder to convert into a digital signal to complete the sensor monitoring data preprocessing for digital information analysis. In this paper, with the objectives of good environmental adaptability, low power consumption, low cost, and standardization, the key technologies of wireless sensor networks for fine agriculture are studied, including network structure, networking method, node positioning method, data fusion method, rapid energy self-sufficiency, and energy-saving strategy, and the performance evaluation method of wireless sensor network system, IoT-oriented middleware design method, generic node software and hardware design method, and typical application system. Firstly, a convolutional layer is used instead of a fully connected layer, which makes the network more flexible in terms of input image requirements and enables the calculation of the target rice region. Not only will many complex operations be generated, but it will also limit the generalization ability of the model. Then, by introducing a flexible connection layer based on unit and optimizing the loss function of the network, a crop convolutional neural network (Crop-Net) is finally proposed for training and testing rice images at different growth stages to improve the detection accuracy. In this paper, a network quality of service goal-driven evaluation strategy and evaluation method for agricultural wireless sensor network systems is designed to provide a reference for the establishment of industry standards for wireless sensor network systems for fine agriculture.
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Singh, Parvinder, and Rajeshwar Singh. "Energy-Efficient QoS-Aware Intelligent Hybrid Clustered Routing Protocol for Wireless Sensor Networks." Journal of Sensors 2019 (December 12, 2019): 1–12. http://dx.doi.org/10.1155/2019/8691878.
Повний текст джерелаАнотація:
A wireless sensor network consists of numerous low-power microsensor devices that can be deployed in a geographical area for remote sensing, surveillance, control, and monitoring applications. The advancements of wireless devices in terms of user-friendly interface, size, and deployment cost have given rise to many smart applications of wireless sensor networks (WSNs). However, certain issues like energy efficiency, long lifetime, and communication reliability restrict their large scale utilization. In WSNs, the cluster-based routing protocols assist nodes to collect, aggregate, and forward sensed data from event regions towards the sink node through minimum cost links. A clustering method helps to improve data transmission efficiency by dividing the sensor nodes into small groups. However, improper cluster head (CH) selection may affect the network lifetime, average network energy, and other quality of service (QoS) parameters. In this paper, a multiobjective clustering strategy is proposed to optimize the energy consumption, network lifetime, network throughput, and network delay. A fitness function has been formulated for heterogenous and homogenous wireless sensor networks. This fitness function is utilized to select an optimum CH for energy minimization and load balancing of cluster heads. A new hybrid clustered routing protocol is proposed based on fitness function. The simulation results conclude that the proposed protocol achieves better efficiency in increasing the network lifetime by 63%, 26%, and 10% compared with three well-known heterogeneous protocols: DEEC, EDDEEC, and ATEER, respectively. The proposed strategy also attains better network stability than a homogenous LEACH protocol.
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Musluh, Saif Khalid, Alaa Abid Muslam, and Raid Abd Alreda Shekan. "Genetic Algorithm for Effective Optimization of Delay Performance in Wireless Sensor Networks." JOURNAL OF UNIVERSITY OF BABYLON for Pure and Applied Sciences 26, no. 10 (December 24, 2018): 281–308. http://dx.doi.org/10.29196/jubpas.v26i10.1886.
Повний текст джерелаАнотація:
Wireless sensor networks (WSNs) play an important role in many real-world applications like surveillance. Wireless networks are also used to have data transfer. In such cases, there are problems with resourcece-constraintnednetworks. The problems include a delay in communication and reduction in Quality of Service (QoS). Topology control can solve this problem to some extent. However, the delay performance and QoS need to be improved further to support intended operations in wireless networks. When relay node concept is considered, it is possible to optimize performance in such networks. In this paper, we proposed a Genetic Algorithm (GA) based relay configuration for optimizing delay performance in WSN. Relay nodes compute optimal positions using the proposed algorithm so as to improve QoS and reduce delay as much as possible. We implemented the algorithm using NS2 simulations. The results revealed that the proposed approach is able to improve QoS, reduce delay besides improving network performance in terms of throughput, network capacity, and energy efficiency.
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Lou, Xiao Chun, and Xie Yu. "Research on Coverage Optimization Methods for Wireless Sensor Networks Based on an Improved Genetic Algorithm." Applied Mechanics and Materials 644-650 (September 2014): 2116–19. http://dx.doi.org/10.4028/www.scientific.net/amm.644-650.2116.
Повний текст джерелаАнотація:
Wireless sensor network coverage control is studied under conditions to ensure quality of service, in order to maximize network coverage, covering the use and application of the algorithm optimization strategy, contribute to the effective control of the network node energy and improve the perceived quality of service network lifetime extension of time. This paper presents an improved genetic algorithm to optimize the network effective coverage of the target, achieved through the coverage control algorithm crossover and mutation operation and a detailed analysis of the impact of sensing radius of coverage performance. Simulation results show that the algorithm is effective coverage reaches more than 85%, can effectively achieve wireless sensor network coverage optimization.
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Aslam, Muhammad, Fan Wang, Xiaopeng Hu, Muhammad Asad, and Ehsan Ullah Munir. "Multihopping Multilevel Clustering Heterogeneity-Sensitive Optimized Routing Protocol for Wireless Sensor Networks." Journal of Sensors 2017 (2017): 1–14. http://dx.doi.org/10.1155/2017/5378403.
Повний текст джерелаАнотація:
Effective utilization of energy resources in Wireless Sensor Networks (WSNs) has become challenging under uncertain distributed cluster-formation and single-hop intercluster communication capabilities. So, sensor nodes are forced to operate at expensive full rate transmission power level continuously during whole network operation. These challenging network environments experience unwanted phenomena of drastic energy consumption and packet drop. In this paper, we propose an adaptive immune Multihopping Multilevel Clustering (MHMLC) protocol that executes a Hybrid Clustering Algorithm (HCA) to perform optimal centralized selection of Cluster-Heads (CHs) within radius of centrally located Base Station (BS) and distributed CHs selection in the rest of network area. HCA of MHMLC also produces optimal intermediate CHs for intercluster multihop communications that develop heterogeneity-aware economical links. This hybrid cluster-formation facilitates the sensors to function at short range transmission power level that enhances link quality and avoids packet drop. The simulation environments produce fair comparison among proposed MHMLC and existing state-of-the-art routing protocols. Experimental results give significant evidence of better performance of the proposed model in terms of network lifetime, stability period, and data delivery ratio.
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Wen, Jianjun, and Waltenegus Dargie. "Characterization of Link Quality Fluctuation in Mobile Wireless Sensor Networks." ACM Transactions on Cyber-Physical Systems 5, no. 3 (July 2021): 1–24. http://dx.doi.org/10.1145/3448737.
Повний текст джерелаАнотація:
Wireless sensor networks accommodating the mobility of nodes will play important roles in the future. In residential, rehabilitation, and clinical settings, sensor nodes can be attached to the body of a patient for long-term and uninterrupted monitoring of vital biomedical signals. Likewise, in industrial settings, workers as well as mobile robots can carry sensor nodes to augment their perception and to seamlessly interact with their environments. Nevertheless, such applications require reliable communications as well as high throughput. Considering the primary design goals of the sensing platforms (low-power, affordable cost, large-scale deployment, longevity, operating in the ISM band), maintaining reliable links is a formidable challenge. This challenge can partially be alleviated if the nature of link quality fluctuation can be known or estimated on time. Indeed, higher-level protocols such as handover and routing protocols rely on knowledge of link quality fluctuation to seamlessly transfer communication to alternative routes when the quality of existing routes deteriorates. In this article, we present the result of extensive experimental study to characterise link quality fluctuation in mobile environments. The study focuses on slow movements (<5 km h -1 ) signifying the movement of people and robots and transceivers complying to the IEEE 802.15.4 specification. Hence, we deployed mobile robots that interact with strategically placed stationary relay nodes. Our study considered different types of link quality characterisation metrics that provide complementary and useful insights. To demonstrate the usefulness of our experiments and observations, we implemented a link quality estimation technique using a Kalman Filter. To set up the model, we employed two link quality metrics along with the statistics we established during our experiments. The article will compare the performance of four proposed approaches with ours.
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Charfi, Faiza, Walid Labidi, and J. Marc Thiriet. "Performance Study of a New CSMA/CA Access Method with QoS Based on 802.11b and Comparison with 802.15.4/ZigBee." International Journal of System Dynamics Applications 2, no. 3 (July 2013): 94–112. http://dx.doi.org/10.4018/ijsda.2013070106.
Повний текст джерелаАнотація:
Wireless Network Controlled Systems (WNCSs) are a new area of research which concerns the implementation of control strategy over wireless networks. Therefore, many potential applications of Wireless Sensor Networks (WSNs) span a wide spectrum in various domains. The dependability of the WNCSs becomes a strong requirement due to real-time requirements of control. The Quality of Control (QoC) is performed through optimally allocating the network resources to ensure the Quality of Service (QoS) and optimally designing controller to compensate for time delays in the control feedback loop. The IEEE 802.11b standard is a really widespread wireless network. However, some QoS properties are missing, compared to more specific protocols, such as 802.15.4. In this paper, the authors present the implementation of an extended model of the IEEE 802.11b standard in order to add more QoS properties through the use of CSMA/CA with the combination of the frame selection sort and the First Come First Served (FCFS) scheduling methods. The control performances of the new model are compared to those of IEEE 802.15.4 with QoS. Several improvements are achieved including a reduction in the number of collisions and priority-based flow control.
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Cui, Cui. "Using Wireless Sensor Network to Correct Posture in Sports Training Based on Hidden Markov Matching Algorithm." Journal of Sensors 2021 (September 20, 2021): 1–11. http://dx.doi.org/10.1155/2021/2159181.
Повний текст джерелаАнотація:
This paper combines the research of wireless sensor networks and sports training and proposes a wireless sensor network-based intelligent sports training system. According to the requirements of the system, this design uses the wireless sensor network system as the platform for development and the ZigBee module for wireless communication. The advantage of this system is to transmit the obtained information to the ZigBee coordinator module, and after the processing of information and the resultant decision, a nonwearable unmonitored motion training model based on visual sensing is proposed. The motion terminal collects video data streams of user motion actions and extracts features to establish HMM motion recognition algorithm to achieve recognition of motion actions, automatic counting, and intelligent scoring functions. The template matching algorithm based on dynamic time regularization and weighted Euclidean distance realizes a universal real-time motion recognition algorithm with high standard and low latency and can guide the user’s motion action based on similarity calculation. The intelligent sports training system is designed and developed to maintain a high-quality human-computer interaction experience with a real-time feedback client and uploads sports data to a cloud server via the HTTP protocol, which supports real-time sports proximity query and training plan development on the website. After practical application tests, the intelligent sports training system based on the wireless sensor network proposed in this paper is stable and reliable and adds fun and competitiveness to boring sports. The research of this paper has some reference value for the application of wireless sensor networks and the research of the motion recognition algorithm.
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Abdu, Abdullahi Ibrahim, Oguz Bayat, and Osman Nur Ucan. "Designing insistence-aware medium access control protocol and energy conscious routing in quality-of-service-guaranteed wireless body area network." International Journal of Distributed Sensor Networks 15, no. 1 (January 2019): 155014771881584. http://dx.doi.org/10.1177/1550147718815843.
Повний текст джерелаАнотація:
Wireless body area network is a type of wireless sensor network that enables efficient healthcare system. To minimize frequent sensor replacement due to resource restrictions, it is necessary to improve energy efficiency in wireless body area network. This article deals with energy efficiency and quality-of-service improvement together in novel wireless body area network architecture. A novel wireless body area network architecture is designed with dual sink nodes in order to minimize delay and energy consumption. A novel insistence-aware medium access control protocol which is aware of criticality of sensed data is presented in the proposed wireless body area network. Prior knowledge-based weighted routing algorithm is responsible to select optimal route for data transmission. In prior knowledge-based weighted routing, weight value is computed by considering significant metrics such as residual energy, link stability, distance, and delay in order to improve energy efficiency and quality of service in the network. Energy consumption is further minimized by incorporating graph-based sleep scheduling algorithm. In graph-based sleep scheduling, criticality of sensor node is also considered as major metric. In coordinator, split and map–based neural network classifier is involved to perform packet classification. After classification, packets are assigned to corresponding sink node according to packet type. Then, throughput and delay metrics are improved by frame aggregation process which is involved in sink node. Extensive simulation in OMNeT++ shows better performance in network lifetime, throughput, residual energy, dropped packets, and delay.
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Mu, Chong. "Digitalization and Information Management Mechanism of Sports Events Based on Cooperative Sensing Model of Multisensor Nodes." Journal of Sensors 2022 (January 6, 2022): 1–11. http://dx.doi.org/10.1155/2022/6467305.
Повний текст джерелаАнотація:
This paper provides an in-depth study and analysis of the optimization of sports event management systems using wireless sensor networks. Aiming at the monitoring task of a directed wireless sensor network in a three-dimensional environment, the directed sensing nodes scattered inside the designated monitoring area in a random deployment manner usually have uneven distribution and other problems; we analyze the characteristics of the directed sensor nodes, probabilistic sensing model, and the cooperative sensing model of multiple sensor nodes for monitoring target points and propose a sensing optimization strategy in polar coordinates to guide the three-dimensional plane directed orientation adjustment and sensing optimization of sensor nodes, thus enhancing the sensing capability of network nodes. The experimental results confirm that the algorithm can improve the coverage of the area to be monitored and the quality of sensing service, and it reduces the overall energy consumption of the network by using the distributed node synchronization scheduling mechanism to extend the life cycle of the network to maintain good monitoring capability under the premise of the limited total usage of the directed nodes in wireless sensor networks. The application of wireless sensor network technology in sports competition management mainly includes the application of smart wearable devices in sports competition training, the application of goal-line technology in sports competition, and the application of eagle eye technology in sports events, all three technologies have certain advantages in the application of sports competition, and all of their help to promote the improvement of sports event management and the development of sports industry; the second aspect is wireless sensor. The second aspect is the application of wireless sensor network technology in sports event information management, which is mainly used to collect information related to sports events and fully utilize it to make sports event management more informative and digital, which is helpful to improve the level of sports event management; the third aspect is the application of wireless sensor network technology in sports event stadium management, which is mainly based on intelligent stadiums to create a more spectator-friendly and good experience for the audience, a more ornamental and good experience viewing place, to promote the development and growth of sports industry.
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Sun, Yi, Min Li, and Peng Xu. "A Cross-Layer Congestion Control Algorithm Based on Traffic Prediction in Wireless Sensor Networks." Applied Mechanics and Materials 397-400 (September 2013): 2641–46. http://dx.doi.org/10.4028/www.scientific.net/amm.397-400.2641.
Повний текст джерелаАнотація:
Congestion in wireless sensor networks can affect the networks performance seriously,not only it has impact on data transmission and the quality of service, but also wastes energy and shortens the network lifetime. Aiming at this issue, this paper proposed a cross-layer congestion control algorithm based on traffic prediction (CCATP), it can take congestion mitigation measures in advance according to the prediction result. CCATP comprises three mechanisms: (i) congestion prediction; (ii) local congestion control mechanism based on backoff time adjustment; (iii) transmission route selection based global congestion control mechanism; Simulation experiment results show that CCATP can reduce the packet loss number and improve the energy efficiency significantly, so as to effectively improve the service performance of network.
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Dr. Soundara Rajan, Pradeep K. G. M. ,. Dr S. VENKATESAN,. "A NEURAL NETWORK BASED SMART BUILDING MONITORING SYSTEM USING WIRELESS SENSOR NETWORK." INFORMATION TECHNOLOGY IN INDUSTRY 9, no. 1 (February 28, 2021): 232–39. http://dx.doi.org/10.17762/itii.v9i1.123.
Повний текст джерелаАнотація:
A Smart building monitoring System uses Sensors like temperature Sensor, humidity sensor, motion / occupancy Sensor, contact sensor, Gas/air quality Sensor, Strain Sensor, electrical current monitoring Sensor etc for monitoring an environmental factors and to control devices such as air conditioner, ventilator, alarm, Security grand system etc using sensor information. Our proposed system uses effective neural network to gather information from different Sensor and consolidate it by Information Isolation Node (IIN) and send to sink node The Sink node sends information. to cloud where remote monitoring is done and it also receives Control information from cloud and operates different equipments of building. For efficient implementation only needed information are sent to cloud and necessary action are taken by remote system based on consolidated information sent by Information Isolation Node (IN) through Sink node The Sink node sends information to cloud where remote monitoring is done and it also receives Control information from cloud and operates different equipments of building.
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Ogbodo, Emmanuel, David Dorrell, and Adnan Abu-Mahfouz. "Energy-efficient distributed heterogeneous clustered spectrum-aware cognitive radio sensor network for guaranteed quality of service in smart grid." International Journal of Distributed Sensor Networks 17, no. 7 (July 2021): 155014772110283. http://dx.doi.org/10.1177/15501477211028399.
Повний текст джерелаАнотація:
The development of a modern electric power grid has triggered the need for large-scale monitoring and communication in smart grids for efficient grid automation. This has led to the development of smart grids, which utilize cognitive radio sensor networks, which are combinations of cognitive radios and wireless sensor networks. Cognitive radio sensor networks can overcome spectrum limitations and interference challenges. The implementation of dense cognitive radio sensor networks, based on the specific topology of smart grids, is one of the critical issues for guaranteed quality of service through a communication network. In this article, various topologies of ZigBee cognitive radio sensor networks are investigated. Suitable topologies with energy-efficient spectrum-aware algorithms of ZigBee cognitive radio sensor networks in smart grids are proposed. The performance of the proposed ZigBee cognitive radio sensor network model with its control algorithms is analyzed and compared with existing ZigBee sensor network topologies within the smart grid environment. The quality of service metrics used for evaluating the performance are the end-to-end delay, bit error rate, and energy consumption. The simulation results confirm that the proposed topology model is preferable for sensor network deployment in smart grids based on reduced bit error rate, end-to-end delay (latency), and energy consumption. Smart grid applications require prompt, reliable, and efficient communication with low latency. Hence, the proposed topology model supports heterogeneous cognitive radio sensor networks and guarantees network connectivity with spectrum-awareness. Hence, it is suitable for efficient grid automation in cognitive radio sensor network–based smart grids. The traditional model lacks these capability features.
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Shin, Changsun, and Meonghun Lee. "Swarm-Intelligence-Centric Routing Algorithm for Wireless Sensor Networks." Sensors 20, no. 18 (September 10, 2020): 5164. http://dx.doi.org/10.3390/s20185164.
Повний текст джерелаАнотація:
The swarm intelligence (SI)-based bio-inspired algorithm demonstrates features of heterogeneous individual agents, such as stability, scalability, and adaptability, in distributed and autonomous environments. The said algorithm will be applied to the communication network environment to overcome the limitations of wireless sensor networks (WSNs). Herein, the swarm-intelligence-centric routing algorithm (SICROA) is presented for use in WSNs that aim to leverage the advantages of the ant colony optimization (ACO) algorithm. The proposed routing protocol addresses the problems of the ad hoc on-demand distance vector (AODV) and improves routing performance via collision avoidance, link-quality prediction, and maintenance methods. The proposed method was found to improve network performance by replacing the periodic “Hello” message with an interrupt that facilitates the prediction and detection of link disconnections. Consequently, the overall network performance can be further improved by prescribing appropriate procedures for processing each control message. Therefore, it is inferred that the proposed SI-based approach provides an optimal solution to problems encountered in a complex environment, while operating in a distributed manner and adhering to simple rules of behavior.
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Lu, Bing, Miao Jin, Xiwen Chen, Wei Zhou, Gaoning Nie, and Quan Wang. "Rate Control Optimization Algorithm of Ubiquitous Power Sensor Network Tester Based on Multimedia." Wireless Communications and Mobile Computing 2022 (February 12, 2022): 1–15. http://dx.doi.org/10.1155/2022/8034131.
Повний текст джерелаАнотація:
With more and more video application scenarios and increasing complexity, the popularization of multimedia information and the urgent need to update wireless sensor networks have led to the emergence and development of wireless multimedia sensor networks. This paper focuses on the rate control optimization algorithm of multimedia-based ubiquitous power sensor network, which is mainly studied from three aspects: constructing algorithm verification platform based on multimedia technology, performance analysis, and optimization of rate control optimization algorithm based on multimedia technology. An algorithm verification platform is established based on multimedia technology. This article uses a scalable video coding method to design a client-driven scalable video transmission system. The simulation results show that the algorithm can effectively improve the video quality. The algorithm of rate control based on multimedia technology is proposed. A reliable multipath routing algorithm based on AODV is proposed. Based on the energy balance algorithm, the node-independent routing mechanism and link quality estimation model are introduced. An independent and reliable active/standby communication link to the node of the destination node is established. Linux, the full name of GNU/Linux, is a free-to-use and freely disseminated Unix-like operating system. It is a POSIX-based multiuser, multitasking, multithreaded, and multi-CPU operating system. With the development of the Internet, Linux has gained support from software enthusiasts, organizations, and companies all over the world. In addition to maintaining a strong momentum of development in servers, it has made considerable progress in personal computers and embedded systems. Under the Linux platform, a large number of tests are performed and the performance of the control code rate is analyzed. The so-called sensor network is a distributed intelligent network system that is composed of a large number of small sensor nodes with wireless communication and computing capabilities deployed in the active area through a self-organizing method that can autonomously complete designated tasks according to the environment. The distance between the nodes of the sensor network is very short, and the multihop wireless communication method is generally used for communication. The sensor network can run in an independent environment, or it can be connected to the Internet through a gateway so that users can access it remotely. It is concluded that ABR is the most suitable rate control algorithm for video transmission. According to the CQP experiment results, the QP value set in the improved ABR algorithm is at most 40; the security from the construction of the ubiquitous power sensor network to the final monitoring data collection and upload process is verified by simulating the hypothesis attacks and faults. It is proved that the construction of ubiquitous power sensor network can reduce the energy consumption and delay of monitoring data collection and verify the superiority of constructing ubiquitous power sensor network.
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Wang, Zhigang, Liqin Tian, Lianhai Lin, and Yinghua Tong. "Lattice-Based 3-Dimensional Wireless Sensor Deployment." Journal of Sensors 2021 (August 17, 2021): 1–14. http://dx.doi.org/10.1155/2021/2441122.
Повний текст джерелаАнотація:
With the wide application of wireless sensor networks (WSNs) in real space, there are numerous studies on 3D sensor deployments. In this paper, the k -connectivity theoretical model of fixed and random nodes in regular lattice-based deployment was proposed to study the coverage and connectivity of sensor networks with regular lattice in 3D space. The full connectivity range and cost of the deployment with sensor nodes fixed in the centers of four regular lattices were quantitatively analyzed. The optimal single lattice coverage model and the ratio of the communication range to the sensing range r c / r s were investigated when the deployment of random nodes satisfied the k -connectivity requirements for full coverage. In addition, based on the actual sensing model, the coverage, communication link quality, and reliability of different lattice-based deployment models were determined in this study.
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Hong, Zhen, Xiaoman Pan, Ping Chen, Xianchuang Su, Ning Wang, and Wenqi Lu. "A Topology Control with Energy Balance in Underwater Wireless Sensor Networks for IoT-Based Application." Sensors 18, no. 7 (July 16, 2018): 2306. http://dx.doi.org/10.3390/s18072306.
Повний текст джерелаАнотація:
As part of the IoT-based application, underwater wireless sensor networks (UWSN), which are typically self-organized heterogeneous wireless network, are one of the research hot-spots using various sensors in marine exploration and water environment monitoring application fields, recently. Due to the serious attenuation of radio in water, acoustic or hybrid communication is a usual way for transmitting information among nodes, which dissipates much more energy to prevent the network failure and guarantee the quality of service (QoS). To address this issue, a topology control with energy balance, namely TCEB, is proposed for UWSN to overcome time-delay and other interference, as well as make the entire network load balance. With the given underwater network model and its specialized energy consumption model, we introduce the non-cooperative-game-based scheme to select the nodes with better performance as the cluster-heads. Afterwards, the intra-cluster and inter-cluster topology construction are, respectively, to form the effective communication links of the intra-cluster and inter-cluster, which aim to build energy-efficient topology to reduce energy consumption. With the demonstration of the simulation, the results show the proposed TCEB has better performance on energy-efficiency and throughput than three other representative algorithms in complex underwater environments.