基于GPS及蚁群优化的启发式路由算法

Heuristic routing algorithm based on GPS location information and ACO for Ad Hoc networks

为了大大减少网络维护路由信息的总量和提高路由的鲁棒性,提出了一个新的路由算法,应用全球定位系统(GPS)提供的数据作为启发式信息,利用蚁群优化技术,通过分析,根据每个节点所处的位置不同,令其使用不同的概率转发路由信息到下一跳节点,该算法选择多条路径记录在本地路由表中以提高其鲁棒性,同时采取修复机制创建新路径以提高数据包传输的成功率。仿真结果表明,该算法取得了较好的数据包传输成功率与较低的通信延迟。

Many potential applications of MANETs involve the routing algorithm, a well designed routing algorithm can get higher usability and lower overhead used for finding a path. A new routing algorithm based on ant colony optimization for MANETs with global positioning system （GPS） and heuristic methods is proposed. By analysis, every node in different positions has different probabilities to forward the ant to the next hop, so as to greatly reduce the overhead of the packets used for maintaining the route information. Algorithm selects one or two of them recorded in its local routing table for its robustness reason. A mechanism is taken to repair the path so as to create an alternative path to promote the robustness of the routing algorithm. Simulation results show that our algorithm achieves good packet delivery ratio with low communication delay.