计算机工程2012，Vol.38Issue(8)：57-60,4.DOI:10.3969/j.issn.1000-3428.2012.08.019
无线传感器网络中的覆盖优化算法
Coverage Optimization Algorithm in Wireless Sensor Network
摘要
Abstract
Aiming at the disadvantages of existing coverage optimization algorithms, such as early maturity, poor convergence performance and easy to fall into local extreme, this paper combines the application environment of the Three Gorges Reservoir water quality monitoring, presents a new coverage optimization algorithm for Wireless Sensor Network(WSN). The Particle Swarm Optimization(PSO) model within constriction factors is adopted. It uses chaotic sequence generated by chaotic Tent mapping instead of the original random parameter, introduces the conception of aggregation degree for judging, and realizes parameters adaptive adjustments. Experimental results show that the algorithm can improve network coverage.关键词
无线传感器网络/覆盖优化/粒子群优化/收缩因子/混沌/自适应Key words
Wireless Sensor Network(WSN)/coverage optimization/Particle Swarm Optimization(PSO)/constriction factor/chaos/selfadaptation分类
信息技术与安全科学引用本文复制引用
仲元昌,赵贞贞,王恒,宋扬..无线传感器网络中的覆盖优化算法[J].计算机工程,2012,38(8):57-60,4.基金项目
国家自然科学基金资助项目(50875272,50735008) （50875272,50735008）
重庆市自然科学基金资助项目(CSTC,2008BB2340) （CSTC,2008BB2340）
