改进免疫粒子群算法的传感器网络预警系统

Alerting System using Sensor Network based on Improved Immune Particle Swarm Optimization Algorithm

为节约传感器网络预警系统的传输能耗,提出了一种改进免疫粒子群算法以优化传输路径。为有效改善传统粒子群改进算法易于局部收敛的缺陷,引入了免疫机制,以最大程度的提升算法的全局搜索能力和收敛速度。基于多跳传输的险情点至监控点的传感器网络预警模型,通过引入免疫粒子群算法优化获得尽可能最优的多跳传输路径,以节约其能耗。由仿真验证结果可知,所提算法有效提升了粒子群的全局搜索能力和收敛速度,以能够寻到更优的多跳传输路径,从而减少了能量消耗。

In order to save the energy consumption of alerting system using sensor network,improve an immune particle swarm optimization algorithm is proposed for path transmission optimization.In order to improve the problem that traditional particle swarm optimization algorithm which is easy to fall into local convergence,the immune mechanism is introduced,so as to improve global optimization ability and iterative velocity effectively.Based on alerting system using sensor network from dangerous point to monitoring point by multi-hop,the optimal multi-hop transmission path is obtained by introducing immune particle swarm optimization algorithm,so as to save energy consumption.The simulation results show that the proposed algorithm can improve the global search ability and convergence speed of particle swarm effectively,and find a better optimized multi-hop transmission path,thus the energy consumption can be reduced.