基于OLSR的小型无人机自组网低开销路由算法
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桂林电子科技大学信息与通信学院

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TP393

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广西创新驱动发展专项(桂科(AA21077008))


A low overhead routing algorithm for small UAV Ad Hoc networks based on OLSR
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School of Information and Communication, Guilin University of Electronic Technology

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    摘要:

    针对小型无人机自组网动态网络拓扑环境下的路由选择问题,在分析OLSR协议路由开销的基础上,提出了一种基于OLSR的小型无人机自组网低开销路由算法。该算法通过实时感知邻居节点的链接状态和网络拓扑的变化状态,对HELLO消息和TC消息的发送间隔进行自适应调整;同时,借助感知节点HELLO消息的接收功率和计算HELLO消息传输时延,对节点的稳定性进行度量,进而对节点的MPR选取意愿进行主动调节,以弥补传统的OLSR算法在小型无人机自组网模型下的不足。利用OPNET Modeler 网络仿真软件建立小型无人机自组网场景,对改进前后路由算法的主要性能指标进行仿真。仿真结果表明,在小型无人机自组网模型中,改进的路由算法在不增加网络端到端时延的前提下,有效降低了自组网的路由开销和丢包率,综合提高了OLSR算法的路由性能。

    Abstract:

    Aiming at the routing selection problem in the dynamic network topology environment of small UAV Ad Hoc networks, on the basis of the analysis of OLSR protocol routing cost, a low overhead routing algorithm based on OLSR for small UAV Ad Hoc networks is proposed. The algorithm adaptive adjustment the sending interval of HELLO messages and TC messages by sensing the link state of neighbor nodes and the change state of network topology in real time. At the same time, by means of sensing the receiving power of the HELLO message of the node and calculating the transmission delay, the stability of the node is measured, and then the MPR selection willingness of the node is actively adjusted, so as to make up for the shortfalls of the traditional OLSR algorithm under the small UAV Ad Hoc networks model. OPNET Modeler network simulation software is used to establish small UAV Ad Hoc networks scenarios, and the main performance indicators of improved and the original routing algorithm are simulated. The simulation results show that in the small UAV Ad Hoc networks model, the improved routing algorithm effectively reduces the routing overhead and packet loss rate of the Ad Hoc networks without increasing the end-to-end delay of the network, and comprehensively improves the routing performance of the OLSR algorithm.

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康一鸣,刘庆华,叶金才. 基于OLSR的小型无人机自组网低开销路由算法[J]. 科学技术与工程, , ():

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  • 收稿日期:2023-12-19
  • 最后修改日期:2024-04-28
  • 录用日期:2024-05-02
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