改进粒子群算法优化低功耗自适应集簇分层的路由算法

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。

LEACH Protocol based on improved particle swarm optimization algorithm

Aiming at the low energy adaptive clustering hierarchy algorithm has the problem that cluster head dis_tributes unreasonably and energy consumption inequality in the network, an improved low energy adaptive clustering hierarchy algorithm based on particle swarm optimization algorithm is proposed in this paper. Firstly, the problem of selecting split line are tuned into nonlinear constraint optimization problem, and the particle swarm optimization algo_rithm is used to solve the problem n which defect of particle swarm optimization algorithm are solved,finally, the simu_lation experiments are carried out to test the performance of algorithm. The results show that the proposed algorithm can effectively improve the network energy efficiency and achieve energy consumption balanced among nodes, so it can pro_long life time of wireless sensor network compared other improved low energy adaptive clustering hierarchy algorithm.