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Fast average consensus in clustered wireless sensor networks by superposition gossiping
Zheng M(郑萌); Mario Goldenbaum; Slawomir Stanczak; Yu HB(于海斌)
作者部门工业控制网络与系统研究室
会议名称2012 IEEE Wireless Communications and Networking Conference
会议日期April 1-4, 2012
会议地点Paris, France
会议主办者IEEE
会议录名称IEEE Wireless Communications and Networking Conference, WCNC
出版者IEEE
出版地New York, USA
2012
页码2009-2014
收录类别EI ; CPCI(ISTP)
EI收录号20123115298557
WOS记录号WOS:000324580702015
产权排序1
ISBN号978-1-4673-0437-5
关键词Mathematical Programming Time Division Multiple Access Wireless Telecommunication Systems
摘要

In this paper we propose a gossip algorithm for average consensus in clustered wireless sensor networks called superposition gossiping, where the nodes in each cluster exploit the natural superposition property of wireless multiple-access channels to significantly decrease local averaging times. More precisely, the considered network is organized into single-hop clusters and in each cluster average values are computed at a designated cluster head via the wireless channel and subsequently broadcasted to update the entire cluster. Since the clusters are activated randomly in a time division multiple-access fashion, we can apply well-established techniques for analyzing gossip algorithms to prove the convergence of the algorithm to the average consensus in the second moment and almost surely, provided that some connectivity condition between clusters is fulfilled. Finally, we follow a semidefinite programming approach to optimize wake up probabilities of cluster heads that further accelerates convergence.

语种英语
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文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/10237
专题工业控制网络与系统研究室
通讯作者Zheng M(郑萌)
作者单位1.Key Lab. of Industrial Informatics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, 110016, China
2.Graduate School of the Chinese Academy of Sciences, Beijing, 100039, China
3.Heinrich-Hertz-Lehrstuhl für Informationstheorie und Theoretische Informationstechnik, Technische Universität Berlin, Einsteinufer 25, 10587 Berlin, Germany
4.Fraunhofer Institute for Telecommunications, Heinrich-Hertz-Institute, Einsteinufer 37, 10587 Berlin, Germany
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GB/T 7714
Zheng M,Mario Goldenbaum,Slawomir Stanczak,et al. Fast average consensus in clustered wireless sensor networks by superposition gossiping[C]//IEEE. New York, USA:IEEE,2012:2009-2014.
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