WSN中动态自适应蚁群路由算法

路由问题是无线传感器网络的核心问题,采用动态自适应调整信息素的蚁群算法,克服了基本蚁群算法的搜索时间过长、易于陷于局部最优解等缺点;同时对无线传感器网络存在的节点能量、传输延时、网络生命周期等问题有明显的改善与提高;最后通过实验仿真证实了该算法的有效性.

A Dynamic and Adapted Ant Colony Route Algorithm in WSN

The route question is the core question of wireless sensor network,and there are many studies trying to solve the problems using Ant Colony Algorithm (ACA). This article adopted the Ant Colony Algorithm, which can adjust the pheromone dynamically and automatically, overcame the disadvantage, such as too long searching time, easily trapped in partial optimal solution, of the basic Ant Colony Algorithm. And at the same time, it could improve the problems like the node energy, transfer delay, lifecycle of network, which obviously existing in the wireless sensor network. Finally approved the validity of this algorithm by experimental simulation.