An energy-efficient data gathering method based on compressive sensing for pervasive sensor networks |
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| Affiliation: | 1. College of Computer, Nanjing University of Posts and Telecommunications, Nanjing, Jiangsu, China;2. Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks, Nanjing, Jiangsu, China;3. Key Lab of Broadband Wireless Communication and Sensor Network Technology of Ministry of Education, Nanjing, Jiangsu, China;1. College of Information and Control Engineering, China University of Petroleum, Qingdao, PR China;2. School of Computer, Wuhan University, Wuhan, PR China;3. School of Information Science and Engineering, Qufu Normal University, Rizhao, PR China;4. College of Computer and Communication Engineering, China University of Petroleum, Qingdao, PR China;1. School of Cyber Engineering, Xidian University, Xi’an, 710071, PR China;2. Department of ECE, Michigan State University, East Lansing, MI, 48824, USA;1. WINCORE Laboratory in the Department of Electrical and Computer Engineering, Ryerson University, Ontario, Canada;2. COMSATS Institute of Information Technology, Wah Campus, Wah Cantt, Pakistan;1. Department of Computer & Information Science, University of Konstanz, Germany;2. School of Mathematical Sciences, The University of Adelaide and ARC Centre of Excellence for Mathematical and Statistical Frontiers, Australia;3. Department of Computer Science, COMSATS Institute Of Information Technology, Islamabad, Pakistan;4. Department of Computer Science, The University of Poonch, Rawlakot, Azad Jammu and Kashmir;5. Department of Computer Science, Brown University, USA;6. National University of Sciences and Technology, Pakistan;1. LAMIE Laboratory, Department of Computer Science, University of Batna 2, Algeria;2. Intelligent Media Laboratory, Department of Software, College of Software Convergence, Sejong University, Seoul, Republic of Korea;3. Digital Image Processing Laboratory, Department of Computer Science, Islamia College Peshawar, Pakistan;4. School of Data Science and Software Engineering, Qingdao University, China |
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| Abstract: | This paper proposes an energy-efficient data gathering method called CN-MSTP (Combining Minimum Spanning Tree with Interest Nodes) for pervasive wireless sensor networks, basing on Compressive sensing (CS) and data aggregation. The proposed CN-MSTP protocol selects different nodes at random as projection nodes, and sets each projection node as a root to construct a minimum spanning tree by combining with interest nodes. Projection node aggregates sensor reading from sensor nodes using compressive sensing. We extend our method by letting the sink node participate in the process of building a minimum tree and introduce eCN-MSTP. We compare our methods with the other methods. Simulation results indicate that our two methods outperform the other methods in overall energy consumption saving and load balance and hence prolong the lifetime of the network. |
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| Keywords: | Energy-efficient Compressive sensing Data aggregation Wireless sensor network |
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