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《Acta Electronica Sinica》 2017-08
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Optimal Data Collection Strategies for Energy-Constrained Sensor Networks

CHEN Peng-peng;GAO Shou-wan;HUANG Dan;NIU Qiang;School of Computer Science and Technology,China University of Mining and Technology;  
This paper investigates the problem of optimal data collection strategies for wireless sensor networks( WSNs) with limited resources. First,a sensor node periodically collects data and utilizes the Kalman filter( KF) to filter noise. Then,considering that communication is a primary source of energy consumption,we develop data transmission strategies to decide at which times the sensors should transmit their data. The proposed strategies can maximize the accuracy of data gathered by the base station for a required network lifetime. To be more specific,for single-hop networks,the optimal data transmission strategy is obtained which can minimize the estimation error. Based on this single-hop optimal strategy,the modified data transmission strategy is proposed for multi-hop networks. Simulation and prototype experiment results showthe effectiveness of the presented strategies.
【Fund】: 国家重点研发计划(No.2016YFC060908);; 国家自然科学基金(No.51674255);; 江苏省自然科学基金(No.BK20160274);; 中国博士后科学基金特别资助项目(No.2016T90523);; 江苏省产学研前瞻性联合研究项目(No.BY2016026-03)
【CateGory Index】: TN929.5;TP212.9
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