Repeated Game for Distributed Estimation in Autonomous Clustered Wireless Sensor Networks

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...

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Main Authors: Guiyun Liu, Yonggui Liu, Jing Yao, Hongbin Chen, Dong Tang
Format: Article
Language:English
Published: Hindawi - SAGE Publishing 2015-10-01
Series:International Journal of Distributed Sensor Networks
Online Access:https://doi.org/10.1155/2015/806456
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author Guiyun Liu
Yonggui Liu
Jing Yao
Hongbin Chen
Dong Tang
author_facet Guiyun Liu
Yonggui Liu
Jing Yao
Hongbin Chen
Dong Tang
author_sort Guiyun Liu
collection DOAJ
description 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.
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spelling doaj.art-12de2a9f15484fdca5293404e53656252023-09-02T15:03:27ZengHindawi - SAGE PublishingInternational Journal of Distributed Sensor Networks1550-14772015-10-011110.1155/2015/806456806456Repeated Game for Distributed Estimation in Autonomous Clustered Wireless Sensor NetworksGuiyun Liu0Yonggui Liu1Jing Yao2Hongbin Chen3Dong Tang4 School of Mechanical and Electric Engineering, Guangzhou University, Guangzhou 510006, China College of Automation Science and Engineering, South China University of Technology, Guangzhou 510641, China School of Mechanical and Electric Engineering, Guangzhou University, Guangzhou 510006, China School of Information and Communication, Guilin University of Electronic Technology, Guilin 541004, China School of Mechanical and Electric Engineering, Guangzhou University, Guangzhou 510006, ChinaA 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.https://doi.org/10.1155/2015/806456
spellingShingle Guiyun Liu
Yonggui Liu
Jing Yao
Hongbin Chen
Dong Tang
Repeated Game for Distributed Estimation in Autonomous Clustered Wireless Sensor Networks
International Journal of Distributed Sensor Networks
title Repeated Game for Distributed Estimation in Autonomous Clustered Wireless Sensor Networks
title_full Repeated Game for Distributed Estimation in Autonomous Clustered Wireless Sensor Networks
title_fullStr Repeated Game for Distributed Estimation in Autonomous Clustered Wireless Sensor Networks
title_full_unstemmed Repeated Game for Distributed Estimation in Autonomous Clustered Wireless Sensor Networks
title_short Repeated Game for Distributed Estimation in Autonomous Clustered Wireless Sensor Networks
title_sort repeated game for distributed estimation in autonomous clustered wireless sensor networks
url https://doi.org/10.1155/2015/806456
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