基于鱼群优化的车载自组织网络路由算法

Routing Algorithm Based on Fish Swarm Optimization for Vehicular Ad Hoc Networks

  • 摘要: 该文提出了一种基于鱼群优化且适用于城市道路环境的车载自组织网络路由算法。针对车载自组织网络中车辆的高速移动导致网络状态和拓扑频繁变化的特点,利用鱼群优化模型辅助搜索,及时为车辆找到新的最优中继节点,以保障网络中消息传输的性能。该文提出的鱼群路由优化算法(fish swarm routing, FSR) ,具有收敛速度快、效率高等优点。实验结果表明,相较于已有的车载自组织网络路由算法,该算法具有更低的传输时延和更高的传输成功率。

     

    Abstract: This paper proposes a routing algorithm based on fish swarm optimization for vehicular Ad Hoc network (VANET) in urban road environment. In vehicular Ad Hoc networks, the high-speed movement of vehicles leads to frequent changes of network conditions and topology. This paper uses fish swarm optimization model to assist the search and find a new optimal relay node for vehicles to ensure the message transmission in VANET. This paper proposes the fish swarm routing (FSR) optimization algorithm, which has the advantages of fast convergence and high efficiency. Experimental results show that the proposed algorithm has lower transmission delay and higher packet delivery ratio compared to existing approaches.

     

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