基于微粒群多元最优信息规划的WSN路由算法

Routing Method in Wireless Sensor Network Based on Particle Swarm Optimization with Multi-optimum Information Programming

在无线传感器网络中,通过对于个体最优值和群体最优值的靠拢,微粒群算法为路南寻优提供了很好的搜索能力。但传统微粒群算法容易受微粒初始分布的影响,陷入局部最优,从而导致网络路由过早耗尽能最。在微粒群算法中选择多个最优信息进行路由寻优,能够解决算法陷入局部最优的缺点,具有更好的总体寻优特性。

In wireless sensor network, search routing based on intelligent particle swarm optimization algorithm provides a very good search capabilities by following the personal best value and the group best value. But the traditional method would easily influenced by the initial distribution and then exhaust some routes in a very short time. Selecting several best values will solve the problem of local optimum and show better general convergence character.