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Multi-Sensor Estimation for Unreliable Wireless Networks with Contention-Based Protocols

Multi-Sensor Estimation for Unreliable Wireless Networks with Contention-Based Protocols

作     者:Shou-Wan Gao Peng-Peng Chen Xu Yang Qiang Niu 

作者机构:Key Laboratory of Gas and Fire Control for Coal Mines China University of Mining and Technology Xuzhou 221116 China School of Computer Science and Technology China University of Mining and Technology Xuzhou 221116 China 

出 版 物:《Journal of Computer Science & Technology》 (计算机科学技术学报(英文版))

年 卷 期:2018年第33卷第5期

页      面:1072-1085页

核心收录:

学科分类:080904[工学-电磁场与微波技术] 0810[工学-信息与通信工程] 0809[工学-电子科学与技术(可授工学、理学学位)] 080202[工学-机械电子工程] 08[工学] 080402[工学-测试计量技术及仪器] 0804[工学-仪器科学与技术] 081001[工学-通信与信息系统] 0802[工学-机械工程] 

基  金:国家自然科学基金 江苏省自然科学基金 江苏高校优势学科建设工程 

主  题:wireless sensor network packet loss state estimation contention-based protocol 

摘      要:The state estimation plays an irreplaceable role in many real applications since it lays the foundation for decision-making and control. This paper studies the multi-sensor estimation problem for a contention-based unreliable wireless network. At each time step, no more than one sensor can communicate with the base station due to the potential contention and collision. In addition, data packets may be lost during transmission since wireless channels are unreliable. A novel packet arrival model is proposed which simultaneously takes into account the above two issues. Two scenarios of wireless sensor networks (WSNs) are considered: the sensors transmit the raw measurements directly and the sensors send the local estimation instead. Based on the obtained packet arrival model, necessary and sufficient stability conditions of the estimation at the base station side are provided for both network scenarios. In particular, all offered stability conditions are expressed by simple inequalities in terms of the packet arrival rates and the spectral radius of the system matrix. Their relationships with existing related results are also discussed. Finally, the proposed results are demonstrated by simulation examples and an environment monitoring prototype system.

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