改进粒子群算法优化低功耗自适应集簇分层的路由算法

发布时间：2018-02-26 04:23

  本文关键词： 无线传感器网络 低功耗自适应集簇分层路由算法 粒子群优化算法 生存时间　出处：《激光杂志》2014年12期 　论文类型：期刊论文

【摘要】：针对LEA低C功H算法的簇头分布不合理、网络能耗不均的问题,在耗自适应集簇分层路由算法。首先将分割线的选择LE问A题CH转协议的基础上,提出了一种改进粒子群算法优化化成带约束的非线性优化问题,然后利用粒子群算法求解,并针对粒子群算法的不足进行相应的改进,最后采用仿真实验测试算法的性能。仿真结果表明,相对于其它改进LEACH路由算法,本文算法有效提高了网络的能量利用率,能够实现节点之间的能耗均衡,使无线传感器的网络生存时间得到延长。
[Abstract]:In order to solve the problem of unreasonable cluster head distribution and uneven network energy consumption in LEA low C power H algorithm, a lossy adaptive cluster hierarchical routing algorithm is proposed. In this paper, an improved particle swarm optimization (PSO) algorithm is proposed to solve the nonlinear optimization problem with constraints, and the PSO algorithm is used to solve the problem. The simulation results show that compared with other improved LEACH routing algorithms, the proposed algorithm can effectively improve the energy efficiency of the network and achieve energy balance between nodes. The network lifetime of wireless sensor is extended.
【作者单位】： 上海电机学院;
【基金】：国家自然科学基金资助项目(编号:61372058) 辽宁省高等学校优秀人才支持计划项目(编号:LR2013012)
【分类号】：TN929.5;TP212.9
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本文编号：1536507