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As the scale of Unmanned Aerial Vehicle (UAV) swarm networks continues to expand, the design of routing protocols faces significant challenges. The objective of this paper is to analyze the performance of GPSR-based routing protocols, including Maxduration Minangle Greedy Perimeter Stateless Routing (MMGPSR), Path-Aware Greedy Perimeter Stateless Routing (PAGPSR), Q-Learning based Geographic Routing (QLGR), and Greedy Perimeter Stateless Routing (GPSR), in large-scale UAV ad hoc network scenarios. The aim is to provide a reference for further research on routing protocols tailored for large-scale UAV ad hoc networks. We utilize the network simulator NS3 platform to compare these protocols. The results demonstrate that MMGPSR exhibits superior performance in the dynamic environment of large-scale UAV ad hoc networks.

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Performance Analysis for GPSR-Based Protocols Under Large-Scale UAV Ad Hoc Networks

  • 会议论文

  • 发表日期：

    2025年

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  • Shengping Wu,
  • Jie Lin,
  • Yanqi Zhang,
  • Jin Ning,
  • Junsong Luo

摘要

As the scale of Unmanned Aerial Vehicle (UAV) swarm networks continues to expand, the design of routing protocols faces significant challenges. The objective of this paper is to analyze the performance of GPSR-based routing protocols, including Maxduration Minangle Greedy Perimeter Stateless Routing (MMGPSR), Path-Aware Greedy Perimeter Stateless Routing (PAGPSR), Q-Learning based Geographic Routing (QLGR), and Greedy Perimeter Stateless Routing (GPSR), in large-scale UAV ad hoc network scenarios. The aim is to provide a reference for further research on routing protocols tailored for large-scale UAV ad hoc networks. We utilize the network simulator NS3 platform to compare these protocols. The results demonstrate that MMGPSR exhibits superior performance in the dynamic environment of large-scale UAV ad hoc networks.