基于萤火虫群优化的Ad Hoc网络路由协议

针对Ad Hoc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，本文借鉴萤火虫群优化算法的思想，提出了一种基于萤火虫群优化的Ad Hoc网络路由协议。路由协议用萤火虫优化算法的荧光素强度的更新规则与无线自组网络中的节点移动速度、拥塞程度、节点剩余能量及节点间的距离等因素相互映射，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Ad Hoc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Ad Hoc网络的稳定。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，本文所提出的路由协议在端到端延时、分组数据传输率及网络生存时间上均有良好的性能。

Ad Hoc Network Routing Protocol Based on Glowworm Swarm Optimization

For Ad Hoc network topology changing, network lifetime is limited and low packet packet transmission efficiency and other issues, in this paper, a new Ad Hoc network routing protocol based on glowworm swarm optimization is proposed,which is based on the idea of glowworm swarm optimization algorithm. In this protocol, routing protocol optimization update rule firefly luciferase intensity of algorithms and wireless ad hoc networks of mobile nodes speed, congestion, distance between nodes and node residual energy and other factors mutual mapping, in the process of improving the Ad network routing discovery, routing and maintenance, the protocol improves the routing discovery, routing selection and maintenance of the routing protocols in the Hoc network by improving the search of the firefly and the firefly, the whole protocol does not need to transmit a large number of control packets, which can achieve the stability of Ad Hoc network. Simulation results show that compared with AODV and based on ant colony optimization algorithm AntRouting agreement, the proposed routing protocol in the end to end delay, have a good performance on packet data transmission rate and network lifetime.