摘要
为有效处理无线传感网络中大量的能耗问题,在研究移动Sink通信基础上,提出了一种基于能量效率、群优化的移动汇聚无线传感器网络优化方法。移动Sink通过改进的ACO算法确定最优运动轨迹来采集数据,并通过短程通信直接与簇头通信,从而使得能耗降到最低。仿真分析结果表明,提出的方法能够有效满足无线传感网络能耗要求,且改进的ACO算法在一定程度上解决了传统方法存在的收敛速度慢、易陷入局部最优解等问题,为延长无线传感器网络的生存期提供了新思路和借鉴。
In order to effectively deal with the large amount of energy consumption in wireless sensor networks,based on the study of mobile sink communication,this paper proposes an energy efficiency based and group optimization based optimization method for mobile sink wireless sensor networks.The design idea of the algorithm is:mobile sink collects data by determining the optimal trajectory through improved ACO algorithm,and communicates directly with cluster head through short-range communication,so as to minimize energy consumption.Finally,through simulation analysis,the results show that the proposed method can effectively meet the energy consumption requirements of wireless sensor networks,and the improved ACO algorithm can solve the problems of slow convergence speed and easy to fall into local optimal solution of traditional methods.This method provides a certain idea and reference for extending the lifetime of wireless sensor networks.
作者
张蓝亓
ZHANG Lanqi(College of Engineering,Yanbian University,Yanji 133002,China)
出处
《电视技术》
2020年第9期54-57,共4页
Video Engineering
关键词
无线传感网络
移动SINK
蚁群算法
能量最优
wireless sensor network
mobile sink
Ant Colony Optimization(ACO)
energy optimization