基于改进萤火虫群优化的无线自组网路由算法

针对无线自组网络拓扑结构多变、网络生存时间受限及数据包分组传输效率低下等问题,借鉴萤火虫群优化算法,提出了一种改进萤火虫群优化的无线自组网络路由算法.路由算法将萤火虫优化算法中的荧光素强度更新与无线自组网络中的节点移动速度、拥塞程度、节点剩余能量、节点间距离等因素进行相互映射,同时改进萤火虫群优化算法中的搜索萤火虫、驻留萤火虫及回溯萤火虫用于完成无线自组网络中路由协议的路由发现、路由选择及路由维护等过程,整个协议无须传送大量的控制分组,即可实现无线自组网络的稳定传输.仿真实验结果表明,与AODV及基于蚁群优化的路由算法AntRouting协议相比,本文所提出的路由算法在端到端延时、分组数据传输率及网络生存时间上均有良好的性能.

Ad Hoc Networks Routing Algorithm Based on Improved Glowworm Swarm Optimization*

For wireless ad hoc network topology changing,network lifetime is limited and low packet packet trans?mission efficiency and other issues,we propose a wireless ad hoc network routing algorithm based on the swarm opti?mization algorithm. The routing algorithm will be based on the fluorescence intensity of the firefly optimization algo?rithm and wireless ad hoc networks in the node mobility,congestion,node residual energy,the distance between the nodes and other factors to map each other,at the same time improve glowworm swarm optimization algorithm in search of fireflies,reside fireflies and back firefly used to complete the wireless AD hoc network centre found by routing protocol,routing and routing maintenance process,this agreement do not need to send a great deal of control group,the stability of the wireless AD hoc network transmission can be realized. Simulation results show that com?pared with AODV and AntRouting protocols,the proposed routing algorithm has better performance in end to end delay,packet data transmission rate and network lifetime.