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T. Vercauteren, A. L. Toledo, and X. Wang, “Batch and sequential bayesian estimators of the number of active terminals in an IEEE 802.11 network,” IEEE Trans. on Signal Processing, Vol. 55, No. 2, pp. 437–450, January 2007.

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.