Adaptive Routing Design for Flying Ad Hoc Networks

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

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)1438-1442
Number of pages5
JournalIEEE Communications Letters
Volume26
Issue number6
DOIs
Publication statusPublished - 2022 Jun 1

All Science Journal Classification (ASJC) codes

  • Modelling and Simulation
  • Computer Science Applications
  • Electrical and Electronic Engineering

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