Adaptive Routing Design for Flying Ad Hoc Networks

Min Zhang, Chao Dong, Peng Yang, Ting Tao, Qihui Wu, Tony Q.S. Quek

研究成果: Article同行評審

1 引文 斯高帕斯(Scopus)

摘要

Adaptive routing and efficient packet delivery in Flying Ad Hoc Networks (FANETs) are significant challenges due to underlying environment constraints, such as dynamic nature, mobility, and limited connectivity. With the increasing number of machine learning (ML) applications in wireless networks, FANETs can benefit from these data-driven predictions. This letter proposes a Packet Arrival Prediction (PAP) routing protocol to improve transmission link reliability. Primarily, we apply a Long Short-Term Memory (LSTM) model to predict the packet arrival of each UAV, seeking to avoid the high-traffic UAVs, which cause packet loss significantly. Then, we formulate the routing decision issue as an optimization problem, which attempts to find an appropriate path by a proposed constrained sorting approach, in order to make joint yet fast routing decisions. The simulation results demonstrate that the PAP routing protocol outperforms the existing manifold protocols in the aspects of Packet Delivery Ratio (PDR) and delay.

原文English
頁(從 - 到)1438-1442
頁數5
期刊IEEE Communications Letters
26
發行號6
DOIs
出版狀態Published - 2022 6月 1

All Science Journal Classification (ASJC) codes

  • 建模與模擬
  • 電腦科學應用
  • 電氣與電子工程

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