Abstract
The paper proposes a novel approach to explore the controlled and coordinated sink movement for Wireless Sensor Network (WSN). Past research showed that using mobile agents for single hop data gathering has several boons over the classical cluster based multi hop data forwarding and collection scheme. In this paper, we explore the mobility of multiple mobile sinks in a network to achieve optimum network coverage. We have incorporated the cooperative behavior among the mobile sinks using the basic idea of game theory. The entire data collection process is portrayed as a game, where the mobile sinks are the players. Players try to increase their payoffs by collecting data from maximum number of sensor nodes. The game is played repetitively. The cooperative nature of the game motivates a mobile sink to move in such a way that it minimizes the common strategies played by the other players, and maximizes the cumulative overall payoff. Our proposed algorithm gives substantial performance enhancement in terms better network coverage, and lower network energy consumption in a randomly deployed sensor environment.
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Datta, S., Banerjee, I., Samanta, T. (2014). Mobile Sink Management for Nonuniformly Distributed Sensor Node Coverage Using a Game Theoretic Approach. In: Thampi, S., Abraham, A., Pal, S., Rodriguez, J. (eds) Recent Advances in Intelligent Informatics. Advances in Intelligent Systems and Computing, vol 235. Springer, Cham. https://doi.org/10.1007/978-3-319-01778-5_32
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DOI: https://doi.org/10.1007/978-3-319-01778-5_32
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-01777-8
Online ISBN: 978-3-319-01778-5
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