基于改进蚁群优化的物联网网关负载均衡匹配研究  

Research on Load Balancing Matching of IoT Gateway Based on Improved Ant Colony Optimization

作　　者：解勇 周奕辰 郭良梅 孙昱淞 王京 李峰 Xie Yong;Zhou Yichen;Guo Liangmei;Sun Yusong;Wang Jing;Li Feng(Marketing Service Center,State Grid Shanghai Electric Power Co.,Ltd.,Shanghai 200030,China;School of Electronic Information and Electrical Engineering,Shanghai Jiao Tong University,Shanghai 200240,China)

机构地区：[1]国网上海市电力公司营销服务中心,上海200030 [2]上海交通大学电子信息与电气工程学院,上海200240

出　　处：《电气自动化》2024年第5期98-100,共3页Electrical Automation

摘　　要：为进一步提高网络路由质量,设计了一种基于改进蚁群优化的物联网网关负载均衡匹配方法。在蚁群算法启发因子中引入节点层值及负载量,网关负载均衡性匹配优化目标由于数据传输链路均衡性,有利于网络寿命的延长。研究结果表明:相比于传统蚁群及BEACO这两种优化方法,改进蚁群方法,具有更好的负载平衡度,网络剩余总能量更多,更小的丢包率,更优的连接比率,达到更优节点均衡匹配效果。In order to further improve the quality of network routing,a load balancing matching method for IoT gateways based on improved ant colony optimization was designed.Introducing node layer values and load capacity into the heuristic factors of ant colony algorithm,the optimization goal of gateway load balancing matching was to extend the network lifespan due to the balance of data transmission links.The research results indicate that compared to the traditional ant colony optimization and BEACO optimization methods,the improved ant colony algorithm can achieve better load balancing,more remaining total network energy,smaller packet loss rate,and higher connection ratio,thus achieving better node balance matching effect.

关 键 词：物联网网关 负载均衡 分层设计 改进蚁群算法 传输链路 均衡性 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]