Unmanned aerial vehicle (UAV) networks have gained significant interest in civilian and military domains in recent years. To manage a great variety of UAVs, UAV ad hoc networks (UANETs) are viewed as a burgeoning network architecture due to the self-organized UAV formation. Data aggregation is a fundamental operation for UANETs that aims to deliver data generated from distributed UAV nodes to a destination node. However, the open-access communication environments pose great challenges in reliable communication and timely aggregation for UANETs, especially in the presence of jamming attacks. In this paper, we investigate the jamming-resilient data aggregation problem for UANETs against malicious jamming attacks over the shared wireless medium. We consider a more robust jamming model, where f adversaries can collaboratively inject jamming signals into entire k wireless channels with unlimited power supply. Using multiple-channel and power mapping techniques, we present a distributed jamming-resilient data aggregation algorithm that can complete the data aggregation for UANETs with the time complexity of \(O(\frac{n}{k-f}+\log n)\) , where n is the number of participating UAVs. Finally, theoretical analyses and numerical simulations are performed to show the jamming-resilience and efficiency of our algorithm under jamming attacks.

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Jamming-Resilient Data Aggregation for UAV Ad Hoc Networks

  • Li Yang,
  • Jia Yu,
  • Dongxiao Yu

摘要

Unmanned aerial vehicle (UAV) networks have gained significant interest in civilian and military domains in recent years. To manage a great variety of UAVs, UAV ad hoc networks (UANETs) are viewed as a burgeoning network architecture due to the self-organized UAV formation. Data aggregation is a fundamental operation for UANETs that aims to deliver data generated from distributed UAV nodes to a destination node. However, the open-access communication environments pose great challenges in reliable communication and timely aggregation for UANETs, especially in the presence of jamming attacks. In this paper, we investigate the jamming-resilient data aggregation problem for UANETs against malicious jamming attacks over the shared wireless medium. We consider a more robust jamming model, where f adversaries can collaboratively inject jamming signals into entire k wireless channels with unlimited power supply. Using multiple-channel and power mapping techniques, we present a distributed jamming-resilient data aggregation algorithm that can complete the data aggregation for UANETs with the time complexity of \(O(\frac{n}{k-f}+\log n)\) , where n is the number of participating UAVs. Finally, theoretical analyses and numerical simulations are performed to show the jamming-resilience and efficiency of our algorithm under jamming attacks.