Research on Optimized Task Management Algorithms for Wireless Sensor Networks
无线传感器网络优化的任务管理算法研究

An algorithm based on an improved particle swarm optimization algorithm is proposed for the task management in the applications to multihop clustered wireless sensor networks which require collaborative processing executed in parallel on sensor nodes. Duplication-based mutation operation is set up and weighted entropy based technique for order preference by similarity to ideal solution is used to evaluate and choose objectively on the result of the algorithm. The components of the algorithm are explicitly presented and simulation results validate that it searches effectively and can obtain multi-objective optimized task allocation and scheduling solutions which outperform compared with that of other algorithms’ in the literature.