基于自适应蚁群的无线传感网络低延时远程通信路由优化方法  

Optimization method for low-latency remote communication routing in wireless sensor networks based on adaptive ant colony

作　　者：王家峰 WANG Jiafeng(School of Information Engineering,Anhui Broadcasting Movie and Television college,Hefei Anhui 230011)

机构地区：[1]安徽广播影视职业技术学院信息工程学院,安徽合肥230011

出　　处：《宁夏师范学院学报》2023年第7期77-84,共8页Journal of Ningxia Normal University

基　　金：安徽省高校自然科学研究项目(KJ2019A1144).

摘　　要：以往的无线传感网络低延时远程通信路由优化方法未考虑到数据传输的时长,导致网络通信效率低下.因此,设计了基于自适应蚁群的无线传感网络低延时远程通信路由优化方法,计算网络数据传输的长度,构建无线网络远程通信模型.通过计算构建模型数据传输的平均时长,设定路由优化目标函数.在自适应蚁群算法的支持下,计算出遍历节点的概率,通过自动寻优机制遍历路由节点.在上述基础上,设定路由优化判定矩阵,实现低延时远程通信路由优化.在实验测试中,和以往的无线传感网络低延时远程通信路由优化方法相比,设计的基于自适应蚁群算法的无线传感网络低延时远程通信路由优化方法在100%网络负载下,平均网络延时为3.6 s,提高了通信效率.Aiming at the problem that the existing low-latency remote communication routing for wireless sensor networks did not consider the duration of data transmission,an optimization model based on adaptive ant colony optimization was designed.By calculating the length of network data transmission and the average duration of data transmission,we set the routing optimization objective function.With the support of adaptive ant colony optimization algorithms,we traverse routing nodes and get the probability through the automatic optimization mechanism.Based on the above,a routing optimization decision matrix is set to achieve low-latency remote communication routing optimization.Experimental results show that the low-latency remote communication routing optimization method improved communication efficiency by dropping the average network delay to 3.6s under 100%network load.

关 键 词：自适应蚁群 无线传感网络 低延时 远程通信 路由优化方法 方法设计 

分 类 号：T915.11[一般工业技术]