Game theoretic Multi-Objective Routing Scheme for Wireless Sensor Networks
In wireless sensor networks, performance is strongly related to routing algorithms. However, unique characteristics of wireless communications make it difficult to design an efficient routing algorithm. In this paper, I propose a new routing scheme based on the game theoretic model. By using the dynamic online approach, each sensor node can make routing decisions while ensuring good global properties. In addition, the proposed routing paradigm is realized in a distributed way without central controller, which is practical for real network operations. The principle contributions of my work are its self-adaptability, scalability and responsiveness to current network situations. Simulation results indicate that the proposed scheme can strike an appropriate performance balance between conflicting requirements while other existing schemes cannot offer such an attractive performance.
Keywords: Wireless sensor networks, Energy efficiency, Multi-objective optimization, Self-organized routing, Energy balancing, Online decision, Adaptive control,