In view of the two shortcomings of the AODV routing protocol, they do not consider the bandwidth, delay and cost in the actual network, and the routing table has only one path from the basic node to the target node. This paper attempts to improve the AODV protocol by using particle swarm optimization. Through simulation experiments, this paper compares four improved particle swarm optimization algorithms, inertia weight, linear decline, shrinkage factor and chaos, and finds that ACPSO can find the optimal path faster and transmit data quickly. So, this paper uses chaotic particle swarm optimization (CACPSO) to improve AODV protocol. Finally, based on NS2 simulation platform, the improved AODV protocol is simulated and experimented. Different network environments are set up to test packet delivery rate, network delay and routing discovery frequency. The experimental results show that in the process of data transmission, the improved protocol has higher routing performance than AODV protocol, and can transmit data faster and more stably.

中文翻译：

---

优化路由路径选择方法粒子群优化

鉴于AODV路由协议的两个缺点，在实际网络中没有考虑带宽、延迟和成本，路由表从基本节点到目标节点只有一条路径。本文试图通过使用粒子群优化来改进 AODV 协议。通过仿真实验，对比了惯性权重、线性递减、收缩因子和混沌四种改进的粒子群优化算法，发现ACPSO可以更快地找到最优路径，传输数据更快。因此，本文采用混沌粒子群优化（CACPSO）对AODV协议进行改进。最后，基于NS2仿真平台，对改进后的AODV协议进行了仿真和实验。设置不同的网络环境来测试数据包传递率、网络延迟和路由发现频率。