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群体智能的无线传感网路由算法
Routing Algorithm for WSN Based on Swarm Intelligence Optimization
【摘要】 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.
【Abstract】 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.
- 【文献出处】 上海大学学报(自然科学版) ,Journal of Shanghai University(Natural Science Edition) , 编辑部邮箱 ,2007年04期
- 【分类号】TN929.5;TP212.9
- 【被引频次】7
- 【下载频次】497