基于蚁群的无线电源管理网络路由算法  

A Routing Algorithm for Wireless Resource Sensor Network Based on Ant Colony Clustering

作　　者：姜福祥[1] 钱建波[1] 于正永[1] 

机构地区：[1]淮安信息职业技术学院,江苏淮安223005

出　　处：《无线电工程》2013年第1期13-14,64,共3页Radio Engineering

摘　　要：蚁群算法(Ant Colony Algorithm,ACA)是一种新型的基于群体的仿生算法。采用蚁群算法实现了对无线电源管理网络的路由优化,为远程设备管理提供了新的解决思路。对原始蚁群算法进行了改进,提出了一种多蚁群的优化算法。基于蚁群算法及其并行搜索最优的特征,通过蚁群聚类和动态调整网络优化参数的方法,可作为一种面向无线电源管理网络的路由算法,经过仿真验证了该算法的有效性。The Ant Colony algorithm is a new class of population-based bionic algorithm.The routing optimization for wireless power management network can be realized by use of Ant Colony algorithm,which provides a new method for the remote device management.In the paper the original Ant Colony algorithm is improved,and a routing algorithm based on ant colony clustering is proposed.Based on the ant colony algorithm and its feature of optimal parallel search,a routing algorithm for wireless power management network can be defined by using the Ant Colony Clustering and dynamic adjustment of network optimization parameters.Finally the algorithm is verified by computer simulation.

关 键 词：路由算法 无线电源管理网络 蚁群聚类 

分 类 号：TN711[电子电信—电路与系统]