%0 Journal Article
%T Research on Optimized Task Management Algorithms for Wireless Sensor Networks<br>无线传感器网络优化的任务管理算法研究
%A Yi Ben-shun Chen Jie Xiao Jin-sheng
%A <br>易本顺
%A 陈杰
%A 肖进胜
%J 电子与信息学报
%D 2010
%I 
%X 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.
%K Wireless Sensor Networks (WSNs)
%K Task management
%K Multi-objective optimization
%K Particle Swarm Optimization (PSO)
%K Technique for Order Preference by Similarity to Ideal Solution (TOPSIS)<br>无线传感器网络
%K 任务管理
%K 多目标优化
%K 粒子群优化
%K 逼近理想解的排序法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=6AC0E3049A806CEC65F627C0DF085F48&yid=140ECF96957D60B2&vid=9971A5E270697F23&iid=708DD6B15D2464E8&sid=1C967A5CB3E65B9B&eid=E653E83D91070567&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=0&reference_num=10