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Cooperative Routing Over Heterogeneous Wireless Interfaces for UAV Swarm Networks

  • Xiaohan Qiu
  • , Shan Zhang
  • , Hongbin Luo*
  • *Corresponding author for this work
  • Beihang University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Future UAV swarms are expected to carry multiple wireless interfaces that provide both additional capacity and communication redundancy. However, existing routing systems usually let each interface maintain routes independently, which causes redundant probing and inefficient use of heterogeneous resources in dynamic networks. This paper presents MHIR, a cooperative multi-interface routing framework that separates node-level reachability from interface-level forwarding and introduces a policy layer for cooperative probing, route repair, and dynamic interface selection. MHIR further adopts a time-toforward metric that accounts for route validity, bandwidth, delay, and queueing cost. Experimental results show that MHIR can effectively reallocate traffic under sudden interface degradation and achieves stronger delivery robustness than baseline schemes in both homogeneous and heterogeneous interface settings.

Original languageEnglish
Title of host publication2026 6th International Conference on Artificial Intelligence and Industrial Technology Applications, AIITA 2026
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1585-1589
Number of pages5
ISBN (Electronic)9798331561130
DOIs
StatePublished - 2026
Event6th International Conference on Artificial Intelligence and Industrial Technology Applications, AIITA 2026 - Chongqing, China
Duration: 10 Apr 202612 Apr 2026

Publication series

Name2026 6th International Conference on Artificial Intelligence and Industrial Technology Applications, AIITA 2026

Conference

Conference6th International Conference on Artificial Intelligence and Industrial Technology Applications, AIITA 2026
Country/TerritoryChina
CityChongqing
Period10/04/2612/04/26

Keywords

  • cooperative probing
  • dynamic interface selection
  • heterogeneous wireless interfaces
  • routing
  • UAV swarm networks

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