摘要
提出一种新的基于虚拟连通拓扑子图的优化模型用于无线传感器网络移动Agent路由。建立包含有效节点的虚拟连通拓扑子图,将Agent访问路径分解为采集子路径和返回子路径,提出一种基于GA与离散PSO的混合算法GAPSO用于求解该问题。该算法可大大降低解空间复杂度,提高搜索效率。仿真结果表明随着网络规模增大,该优化模型优势明显,GAPSO表现出比GA更好的性能。
A novel optimization model for mobile agent routing in the wireless sensor network was proposed as an integer linear programming problem based on the virtual connection topology sub graph, and the model divided the close path into two sub paths to keep balance between computation cost and accuracy, A hybrid technique of genetic algorithm and discrete particle swarm optimization, GAPSO was designed to solve the problem. Simulation experiments show the effectiveness of the new model and GAPSO.
出处
《系统仿真学报》
EI
CAS
CSCD
北大核心
2007年第2期388-392,395,共6页
Journal of System Simulation
基金
国家自然科学基金(60472074)
教育部博士点基金(20050699037)。
关键词
无线传感器网络
移动Agent路由
虚拟连通拓扑子图
遗传算法
粒子群优化
wireless sensor networks
mobile-agent routing
virtual connection topology sub graph
genetic algorithm
particle swarm optimization