Toward Intelligent Distributed Segment-Based Routing in 6G-Era Ultra-Large-Scale UAV Swarm Networks

In recent years, unmanned aerial vehicle (UAV) swarm networks have been widely utilized across various fields. Moreover, the advent of 6G technologies has rapidly expanded the size of UAV swarm networks, making efficient routing a critical challenge. Nevertheless, most routing methods in UAV swarm networks are IP-based. As the network scales, the methods suffer from significant routing table update overhead, degrading routing performance. To address this issue, we integrate the segment-based routing scheme into ultra-large-scale 6G-enhanced UAV swarm networks, using its adaptive segment ability to reduce routing overhead and improve flexibility and scalability. However, UAV swarm networks are flat and self-organizing, making current centralized segment-based routing methods impractical. To solve that, we propose a distributed segment-based routing framework that divides the UAV swarm network into segments and activates a segment routing over the IPv6 (SRv6) node at each segment boundary for segment-based routing. Based on this, given the high dynamics of UAV swarm networks, we propose a dynamic distributed segment and SRv6 activation mechanism and a distributed intelligent routing method for adaptive segment adjustments and efficient routing. Lastly, we discuss promising future research directions.

Authors

Institutions

Publication Details

Journal
IEEE Communications Magazine
Published
2025-05-29
DOI
https://doi.org/10.1109/mcom.001.2400583
Citations
3
Primary Topic
UAV Applications and Optimization
Type
article
Field-Weighted Citation Impact
14.98

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Toward Intelligent Distributed Segment-Based Routing in 6G-Era Ultra-Large-Scale UAV Swarm Networks

Zehui Xiong, Tianle Mai, Zunliang Wang, Runlong Zhang et al.
3 citations
IEEE Communications Magazine
UAV Applications and Optimization
14.98
article

Toward Intelligent Distributed Segment-Based Routing in 6G-Era Ultra-Large-Scale UAV Swarm Networks

Zehui Xiong, Tianle Mai, Zunliang Wang, Runlong Zhang, Dusit Niyato, Haipeng Yao
article en
3 citations

Abstract

In recent years, unmanned aerial vehicle (UAV) swarm networks have been widely utilized across various fields. Moreover, the advent of 6G technologies has rapidly expanded the size of UAV swarm networks, making efficient routing a critical challenge. Nevertheless, most routing methods in UAV swarm networks are IP-based. As the network scales, the methods suffer from significant routing table update overhead, degrading routing performance. To address this issue, we integrate the segment-based routing scheme into ultra-large-scale 6G-enhanced UAV swarm networks, using its adaptive segment ability to reduce routing overhead and improve flexibility and scalability. However, UAV swarm networks are flat and self-organizing, making current centralized segment-based routing methods impractical. To solve that, we propose a distributed segment-based routing framework that divides the UAV swarm network into segments and activates a segment routing over the IPv6 (SRv6) node at each segment boundary for segment-based routing. Based on this, given the high dynamics of UAV swarm networks, we propose a dynamic distributed segment and SRv6 activation mechanism and a distributed intelligent routing method for adaptive segment adjustments and efficient routing. Lastly, we discuss promising future research directions.

IEEE Communications MagazineVol. 63(6)
Beijing University of Posts and Telecommunications (CN), Singapore University of Technology and Design (SG), Nanyang Technological University (SG)
National Natural Science Foundation of China, National Key Research and Development Program of China
Affordable and clean energy
Openalex Percentile: Top 2%
UAV Applications and Optimization
14.98
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.