An evolutionary game theory-based channel access mechanism for wireless multimedia sensor network with rate-adaptive applications

摘要

Wireless multimedia sensor networks are involved with rate-adaptive applications, such as video, audio and image, therefore, high bandwidth or throughput is demanded. To maximize the system throughput of the network, a channel access mechanism based on evolutionary game is proposed. Under the mechanism, users are assumed to be bounded rationality, in order to coordinate users' behavior in distributed manner, a new reward function is deduced. On the basis of the reward function, a dynamic channel access algorithm and corresponding dynamic equation are designed for the mechanism, which converge to Nash Equilibrium with faster speed. Theoretical analysis and simulation results show that the reward function proposed can realize the maximization of system throughput and higher normalized utilities of users under the framework of evolutionary game, and the corresponding dynamic equation is globally asymptotically stable, besides, when user deviates because of bounded rationality, the dynamic equation is still able to guarantee faster convergence and smaller performance deviation.