BS-5-12 A Gossip Algorithm-based Distributed Consensus in Wireless Sensor Networks
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概要
- 論文の詳細を見る
In order to reduce energy consumption and get faster convergence rate, this paper incorporates cluster technique together with eavesdropping of nodes to average consensus problem. Based on the clustering algorithm, the node chooses the one in its transmission range which holds the most different value as its gossip pair instead of choosing the one randomly. The simulation result verifies that our proposal called GGcluster achieves unambiguous better convergence rate than the referenced conventional Gossip Algorithms.
- 社団法人電子情報通信学会の論文
- 2011-02-28
著者
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SATO Takuro
Graduate School of Global Information and Telecommunication Studies, Waseda University
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Sato Takuro
Graduate School Of Gits Waseda University
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Li Yanwei
Graduate School Of Gits Waseda University
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Li Yanwei
Graduate School Of Global Information And Telecommunication Studies Waseda University Tokyo
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