Repeated Game for Distributed Estimation in Autonomous Wireless Sensor Networks

被引：0

作者：

Liu Guiyun ^{[1
]}

Liu Yonggui ^{[2
]}

Tang Dong ^{[1
]}

机构：

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

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

来源：

2015 34TH CHINESE CONTROL CONFERENCE (CCC) | 2015年

关键词：

Repeated Game; Cooperation; Wireless Sensor Networks; Distributed Estimation;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The power scheduling problem for distributed estimation in autonomous wireless sensor networks (WSNs) poses a vital problem of nodes' selfishness. Each node autonomously decides whether or not to transmit their observations to the fusion center (FC), and not be controlled by the fusion center (FC) any more. To encourage cooperation within selfish nodes and improve the final estimation accuracy, a repeated game based on a punishment mechanism is proposed to self-enforce nodes' behaviors. A Nash equilibrium strategy is discussed and numerical results validate the effectiveness of the proposed repeated game.

引用

页码：4909 / 4912

页数：4

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