Unmanned Aerial Vehicle (UAV) swarms often encounter jamming regions, where strong interference disrupts communication links, leading to frequent failures. Existing anti-jamming routing protocols fail to utilize trajectory and jamming region information, resulting in suboptimal performance. To address this limitation, we propose a Trajectory-Aware Routing Protocol (TARP) for UAV swarms, which uses the spatial relationship between flight trajectories and jamming regions. TARP estimates link lifetime by analyzing the spatial geometry of UAV positions relative to jamming zones, dynamically adjusts link weights to favor longer-lifetime links, and selects optimal routes based on link weights. This approach ensures stable and efficient data transmission under jamming conditions. We implement TARP on the EXata network simulator and demonstrate its effectiveness through extensive simulations. Results show that TARP outperforms existing protocols in terms of throughput and packet delivery ratio, offering a robust solution for UAV swarm communication in jamming environments.

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Trajectory-Aware Routing for UAV Networks Traversing Multiple Jamming Regions

  • Peiyao Wu,
  • Xiaojun Zhu,
  • Siyue Zheng,
  • Daolong Wu,
  • Nan Qi

摘要

Unmanned Aerial Vehicle (UAV) swarms often encounter jamming regions, where strong interference disrupts communication links, leading to frequent failures. Existing anti-jamming routing protocols fail to utilize trajectory and jamming region information, resulting in suboptimal performance. To address this limitation, we propose a Trajectory-Aware Routing Protocol (TARP) for UAV swarms, which uses the spatial relationship between flight trajectories and jamming regions. TARP estimates link lifetime by analyzing the spatial geometry of UAV positions relative to jamming zones, dynamically adjusts link weights to favor longer-lifetime links, and selects optimal routes based on link weights. This approach ensures stable and efficient data transmission under jamming conditions. We implement TARP on the EXata network simulator and demonstrate its effectiveness through extensive simulations. Results show that TARP outperforms existing protocols in terms of throughput and packet delivery ratio, offering a robust solution for UAV swarm communication in jamming environments.