群体智能的无线传感网路由算法

Routing Algorithm for WSN Based on Swarm Intelligence Optimization

基于群体智能优化算法的自组织性,提出一种基于群体智能优化的无线传感网路由算法,提出系统能量熵的概念,并采用模拟退火算法对该群体智能路由算法优化.仿真实验表明,该算法收敛速度快,具有全局能量均衡等特点,优于Directed Diffusion路由协议,有助于延长网络生存周期,适应无线传感网能量有限、自组织、以数据为中心等要求.

We propose a swarm intelligence optimization algorithm based on self-organization of the swarm intelligence optimization algorithm. We set up the routing, introduce the concept of system energy entropy and optimize it with simulation annealing. Simulation experiments show that the proposed algorithm has a fast convergence rate and global energy equilibrium, meeting the wireless sensor network requirements such as limited energy, self-organization, and data domination. It is better than the Directed Diffusion routing protocol, therefore can prolong the network＇s lifespan.