基于改进蚁群算法信息素因子的WSN路由选择研究  

Research on WSN Routing Selection Based on Improved Pheromone Factor in Ant Colony Algorithm

作　　者：金一琳 迟阔 Jin Yilin;Chi Kuo(School of Information and Communication Engineering,Hainan University,Haikou 570100,China)

机构地区：[1]海南大学信息与通信工程学院,海口570100

出　　处：《办公自动化》2024年第19期63-66,共4页Office Informatization

基　　金：国家级大学生创新训练计划平台项目“无线传感器网络中数据安全高效传输策略研究与实现”(项目编号:202310589080)。

摘　　要：针对无线传感器网络(WSN)中传感器节点在数据传输过程中存在节点能量受限、负载均衡性差等相关问题,提出一种基于改进蚁群算法信息素因子的WSN路由选择方法。通过改进蚁群算法中信息素的定义,引入综合信任度将路由选择转化为组合优化问题权衡节点信任度、节点能量、链路质量三者的关系,用于选择最佳的路径传递数据,从而有效地提高WSN吞吐量和稳定性。Aiming at the problem of node's limited energy and load imbalance during data transmission in wireless sensor networks(WSN),a WSN routing selection algorithm based on the improved pheromone factor of ant colony algorithm is proposed.By modifying the definition of pheromone in the ant colony algorithm,the routing selection is transformed into a combinational optimization problem by introducing a comprehensive trust metric to balance the relationship between node trust value,node energy,and link quality.This algorithm is used to select the optimal path for data transmission in WSN,effectively improving network throughput and stability.

关 键 词：无线传感器网络 蚁群算法 路由选择 

分 类 号：TP399[自动化与计算机技术—计算机应用技术]