基于链路可用时间的认知无线网络拓扑控制算法

Topology Control Algorithm Based on Link Available Time for Cognitive Radio Network

针对认知无线网络的链路可用性受节点移动、主用户干扰、节点剩余能量的影响,并引起网络拓扑结构频繁变化的问题,提出了一种基于链路可用时间预测的网络拓扑控制算法。算法综合考虑上述影响因素并运用概率原理预测链路可用时间,构建具有最长可用时间链路的稳定拓扑图。仿真实验表明,算法能够充分利用移动性低、受主用户干扰少、剩余能量大的链路,简化了网络拓扑,有效减少链路断裂导致的拓扑重构和路由开销,提升了网络的性能。

The topology changes frequently in cognitive wireless network as nodes＇ mobility, me mare user interference, residual energy of nodes which cause link unavailable. A new topology control algorithm based on predict of link available time was proposed to resolve the problem. The algorithm forecasted link available time using probabilistic principles, and built a stable topology with longest available time links. Simulation results show that the new algorithm can take advantage of links with low mobility nodes, less interference caused by the primary user, and large remaining energy, simplify the network topology, effectively reduce the cost of the link topology reconfiguration and routing caused by link fault, and improve network performance.