Sensor Adaptive Task Scheduling Algorithm Based on Multi-agent System Theory and Dynamic Alliance
Zheng Zh · Jisuanji gongcheng · 2015
For the characteristics of the effect of task scheduling and node energy limited in Wireless Sensor Network(WSN),through the Multi-agent System(MAS)for the division of tasks and processing step by step,and the dynamic theory of the adaptive particle swarm optimization,this paper proposes a sensor adaptive task scheduling algorithm.The algorithm is based on MAS architecture,through mathematical models of dynamic alliance,adaptive discrete particle swarm algorithm is combined with dynamic alliance to obtain better global search method by adapting to update the value of the function and particle achieve optimal adaptive dynamic task allocation.Experimental results show that this algorithm achieve better effects in task operation time reduction,node load pressure reduction and energy consume of networks.