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has been cited by the following article:

• TITLE: An Energy-Efficient MAC Protocol for WSNs: Game-Theoretic Constraint Optimization with Multiple Objectives

  AUTHORS: Liqiang ZHAO, Le GUO, CONG Li]], Hailin ZHANG

  KEYWORDS: Wireless Sensor Network, MAC, Energy Efficiency, Game Theory, Constraint Optimization

  JOURNAL NAME: Wireless Sensor Network, Vol.1 No.4, November 20, 2009

  ABSTRACT: In WSNs, energy conservation is the primary goal, while throughput and delay are less important. This re-sults in a tradeoff between performance (e.g., throughput, delay, jitter, and packet-loss-rate) and energy con-sumption. In this paper, the problem of energy-efficient MAC protocols in WSNs is modeled as a game-theoretic constraint optimization with multiple objectives. After introducing incompletely cooperative game theory, based on the estimated game state (e.g., the number of competing nodes), each node independ-ently implements the optimal equilibrium strategy under the given constraints (e.g., the used energy and QoS requirements). Moreover, a simplified game-theoretic constraint optimization scheme (G-ConOpt) is pre-sented in this paper, which is easy to be implemented in current WSNs. Simulation results show that G-ConOpt can increase system performance while still maintaining reasonable energy consumption.