基于动态路由与蚁群优化的移动无线自组织网络算法

移动无线自组织网络(MANET)的移动性与动态性导致网络的服务质量较差,基于此,提出一种基于动态路由与蚁群优化的移动无线自组织网络算法。利用非线性节点拥塞度来增强拥塞度的差异,提出一种基于预测的链接断裂预防方案,基于动态路由设计了有效的路由搜索方案,基于蚁群的信息素参数有效的选择最优路由并实现路由维护。最终,详细的分析本算法的能量效率,计算出本算法的能耗较低。仿真试验结果表明本算法的吞吐量、传输延迟、传输可靠性以及能量效率均具有较好的性能,优于其他基于智能优化或同类型路由算法。

Dynamic routing and ant colony based approach of MANET

Due to the mobility and dynamic feature of the mobile ad-hoc network, the quality of service of the network is bad, based on that shortcoming, a dynamic routing and ant colony based approach of MANET is proposed. The nonlinear node congestion is used to enhance the difference of the congestion, a predict based linkage broken prevention approach is proposed, the dynamic routing based efficient routing search approach is designed, and the pheromone of ant colony is used to select the optimal routing efficiently and the routing maintain is realized. Lastly, the energy efficiency of the proposed approach is analyzed, the low energy consumption is computed. Experiment results show that the proposed schema has a better performance in throughput, end-to-end delay, transfer reliability and energy efficiency than the other optimization approaches of artificial intelligence as well as the approaches in the same category.