基于多信息素蚁群优化的WSN节能路由方案  

Energy-Efficient Routing Scheme Based on Multi Pheromone Ant Colony Optimization for WSNs

作　　者：陈涛[1] 刘姗姗[2] 梁修荣 CHEN Tao;LIU Shan-shan;LIANG Xiu-rong(Department of Information and Intelligent Engineering, Chongqing City Vocational College, Yongchuan Chongqing 402160, China;College of Computer Science, Sichuan Normal university, Chengdu 610101, China;Graphics and Text Information Center, Chongqing City Vocational College, Yongchuan Chongqing 402160, China)

机构地区：[1]重庆城市职业学院信息与智能工程系,重庆永川402160 [2]四川师范大学计算机科学学院,成都610101 [3]重庆城市职业学院图文信息中心,重庆永川402160

出　　处：《西南师范大学学报（自然科学版）》2021年第3期45-50,共6页Journal of Southwest China Normal University(Natural Science Edition)

基　　金：重庆市教委科学技术研究项目(KJQN201803901);重庆市永川区2018年公益类科技计划项目(Ycstc-2018cc0501).

摘　　要：针对当前无线传感器网络节能路由算法中出现的计算效率低和节能效果不佳等问题,本文提出一种基于多信息素蚁群优化的节能路由方案.该方案通过综合考虑节点剩余能量、相邻节点数和节点间距离等因素,在节点能量利用率较低的情况下,利用多信息素蚁群优化算法寻找传感器节点到基站的最佳路由,以经济的能耗将传感数据传输到基站.实验结果表明:与其他对比算法相比,本文提出的算法具有明显优势,能够有效实现节能路由开销,提高网络寿命的目标.Aiming at the problems of low computing efficiency and poor energy-efficient in the current wireless sensor network routing algorithms,a Energy-efficient routing scheme based on multi pheromone ant colony optimization has been proposed.In this scheme,considering the residual energy,the number of adjacent nodes and the distance between nodes,the multi pheromone ant colony optimization algorithm is used to find the best route from sensor node to base station when the energy utilization rate of nodes is low,and the sensor data is transmitted to base station with economic energy consumption.The experimental results show that compared with other algorithms,the proposed algorithm has obvious advantages,andcan effectively achieve the goal of energy-efficient routing cost and improve network lifetime.

关 键 词：无线传感器网络 蚁群优化算法 多信息素 节能路由 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]