一种改进跨层拥塞控制的无线传感网络蚁群路由算法  

Ant Colony Optimization Routing based on Improving Cross-layer Congestion Control in WSNs

作　　者：胡国伟[1] HU Guo-wei(Ningbo Polytechnic, Ningbo 315800, China)

机构地区：[1]宁波职业技术学院

出　　处：《浙江工商职业技术学院学报》2019年第2期34-36,共3页Journal of Zhejiang Business Technology Institute

基　　金：浙江省教育厅资助项目“基于群智能的无线传感网络故障容错关键技术研究”(编号Y201728519)阶段性研究成果

摘　　要：针对无线传感器网络(WSNs)容易产生节点拥塞、造成网络丢包、降低网络性能问题,在能量高效蚁群路由(Improved Energy-Efficient Ant-Based Routing,IEEABR)算法的基础上,提出了一种改进跨层拥塞控制的无线传感网络蚁群路由算法(Congestion Control IEEABR,CCIEEABR)。该算法基于主动控制拥塞的设计思想,综合考虑各层之间的信息共享机制,实现流量的分散。仿真结果表明,该算法有效降低了数据的丢包率,最优平均端到端时延下降21%,具有较高的实用价值。Wireless sensor networks(WSNs) are prone to node congestion, resulting in packet loss and degrading the network performance. In response to this pheromone, in this paper, we propose an cross-layer congestion control improved energy-efficient ant-based routing algorithm (CCIEEABR), which is based on an improved energy-efficient ant-based routing algorithm (IEEABR). The idea of algorithm is based on an active congestion control, considering information sharing mechanism between the layers, and realizing the dispersion of traffic. Simulation results show that the proposed algorithm has superiority over traditional algorithm in data packet delivery ratio, reducing the end-to-end delay by 21%, thus being more suitable to a practical wireless sensor network.

关 键 词：蚁群 跨层 惩罚机制 拥塞控制 无线传感网络 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]