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移动自组织网络中(MANET)基于位置的路由算法为每个节点维护一份邻居列表信息,而节点的随机移动以及网络拓扑的频繁变化导致节点的邻居列表信息更新不及时并导致路由错误,另一方面,对于平稳的网络环境,频繁的更新节点位置信息则导致较高的网络开销。对此,提出了一种基于模糊控制的动态MANET路由优化算法。对MANET中节点移动速度、邻居节点数量以及位置信息更新频率建立模糊规则,并动态的控制网络参数。对比实验结果证明,本算法改善了传统基于地址信息路由协议的数据包投递率、控制包比例以及端到端延迟等重要性能参数。
The MANET location-based routing algorithm maintains a list of neighbor information for each node. The random movement of nodes and the frequent changes of network topology lead to the node’s neighbor list information being updated in an untimely manner and leading to routing errors. On the one hand, frequent updating of node location leads to high network overhead for a smooth network environment. In this regard, a dynamic MANET routing optimization algorithm based on fuzzy control is proposed. The fuzzy rules are established for the moving speed of nodes, the number of neighbor nodes and the updating frequency of location information in MANET, and the network parameters are dynamically controlled. The experimental results show that this algorithm improves the performance of the traditional routing protocols based on routing information such as packet delivery rate, control packet ratio and end-to-end delay.