无线传感器网络优化的任务管理算法研究
doi: 10.3724/SP.J.1146.2009.01595
Research on Optimized Task Management Algorithms for Wireless Sensor Networks
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摘要: 该文针对多跳分簇无线传感器网络多节点协同式并行处理应用，提出了一种新的基于改进粒子群优化算法的任务管理算法，该算法建立了基于复制的变异操作，并采用基于熵权的逼近理想解的排序法对算法结果进行客观评价与择优。详述了算法的各个要素，仿真结果证实，算法搜索效率高、可获得多目标优化的任务分配与调度解，且比文献中提出的其他算法的解性能优越。Abstract: 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.
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