COVERAGE OPTIMIZATION METHODS IN WIRELESS HOMO-SENSOR NETWORK BASED ON GUIDED SWARMS
An improved particle swarm optimization (PSO) algorithm is designed for the grid based wireless homo-sensor network position problem. The proposed method, called guided method, introduces the simulation of migration process to PSO and its mutation algorithm, using a previous designed sparse position plan to guide the swarm to the optimization solution, and accelerates the search process. Experiments show not only the feasibility and validity of the proposed method but also a marked improvement in performance over traditional PSO.
Wireless homo-sensor network position coverage optimization particle swarm optimization guided swarm migration
HUANYANG ZHENG
Beijing University of Posts and Telecommunications, China
国际会议
大连
英文
868-874
2011-10-19（万方平台首次上网日期，不代表论文的发表时间）