Repeated Game for Distributed Estimation in Autonomous Clustered Wireless Sensor Networks

被引：1

作者：

Liu, Guiyun ^{[1
]}

Liu, Yonggui ^{[2
]}

Yao, Jing ^{[1
]}

Chen, Hongbin ^{[3
]}

Tang, Dong ^{[1
]}

机构：

[1] Guangzhou Univ, Sch Mech & Elect Engn, Guangzhou 510006, Guangdong, Peoples R China

[2] S China Univ Technol, Coll Automat Sci & Engn, Guangzhou 510641, Guangdong, Peoples R China

[3] Guilin Univ Elect Technol, Sch Informat & Commun, Guilin 541004, Peoples R China

来源：

INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS | 2015年

关键词：

DECENTRALIZED ESTIMATION; COOPERATION; COVERAGE;

D O I：

10.1155/2015/806456

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A commonly encountered problem in wireless sensor networks (WSNs) applications is to reconstruct the state of nature, that is, distributed estimation of a parameter of interest through WSNs' observations. However, the distributed estimation in autonomous clustered WSNs faces a vital problem of sensors' selfishness. Each sensor autonomously decides whether or not to transmit its observations to the fusion center (FC) and not be controlled by the fusion center (FC) any more. Thus, to encourage cooperation within selfish sensors, infinitely and finitely repeated games are firstly modeled to depict sensors' behaviors. Then, the existences of Nash equilibriums for infinitely and finitely repeated games are discussed. Finally, simulation results show that the proposed Nash equilibrium strategies are effective.

引用

页数：8

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