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Sensors 2017, 17(11), 2654;

A Game Theoretic Approach for Balancing Energy Consumption in Clustered Wireless Sensor Networks

School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
School of Electronic Information Engineering, Yangtze Normal University, Chongqing 408100, China
College of Communication Engineering, Chongqing University, Chongqing 400044, China
Authors to whom correspondence should be addressed.
Received: 8 October 2017 / Revised: 13 November 2017 / Accepted: 16 November 2017 / Published: 17 November 2017
(This article belongs to the Special Issue Smart Communication Protocols and Algorithms for Sensor Networks)
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Clustering is an effective topology control method in wireless sensor networks (WSNs), since it can enhance the network lifetime and scalability. To prolong the network lifetime in clustered WSNs, an efficient cluster head (CH) optimization policy is essential to distribute the energy among sensor nodes. Recently, game theory has been introduced to model clustering. Each sensor node is considered as a rational and selfish player which will play a clustering game with an equilibrium strategy. Then it decides whether to act as the CH according to this strategy for a tradeoff between providing required services and energy conservation. However, how to get the equilibrium strategy while maximizing the payoff of sensor nodes has rarely been addressed to date. In this paper, we present a game theoretic approach for balancing energy consumption in clustered WSNs. With our novel payoff function, realistic sensor behaviors can be captured well. The energy heterogeneity of nodes is considered by incorporating a penalty mechanism in the payoff function, so the nodes with more energy will compete for CHs more actively. We have obtained the Nash equilibrium (NE) strategy of the clustering game through convex optimization. Specifically, each sensor node can achieve its own maximal payoff when it makes the decision according to this strategy. Through plenty of simulations, our proposed game theoretic clustering is proved to have a good energy balancing performance and consequently the network lifetime is greatly enhanced. View Full-Text
Keywords: wireless sensor networks (WSNs); clustering; network lifetime; game theory; equilibrium wireless sensor networks (WSNs); clustering; network lifetime; game theory; equilibrium

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Yang, L.; Lu, Y.; Xiong, L.; Tao, Y.; Zhong, Y. A Game Theoretic Approach for Balancing Energy Consumption in Clustered Wireless Sensor Networks. Sensors 2017, 17, 2654.

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