An Energy-Efficient Reliable Distributed Routing Algorithm for 6G LEO Satellite Networks

Low Earth Orbit (LEO) satellite networks, known for their low signal latency, are ideal for 6 G real-time communications and Internet access. However, they are confronted with considerable challenges, including instability and restricted power resources. It is importance to guarantee reliable and energy-efficient operations in order to maintain uninterrupted and high-quality service. We propose an Energy-Efficient Reliable Distributed Routing Algorithm (EERRA) that dynamically updates satellite information, prevents data loops, and optimizes transmission paths to avoid eclipse regions. This approach extends satellite lifetime and improves network performance. The simulation results show that EERRA outperforms existing algorithms, including Global, DRA, and DSRA, across multiple metrics. EERRA demonstrates exceptional performance in terms of average end-to-end delay, average hop count, signaling overhead, and satellite lifespan. Compared to DRA and DSRA, EERRA achieves lower average end-to-end delay and hop count, and significantly reduces signaling overhead compared to the Global algorithm. Furthermore, EERRA excels in maintaining the highest average residual energy and the lowest life cycle consumption. These attributes make EERRA a highly efficient solution for managing the complex dynamics of LEO satellite networks, ensuring sustainable and reliable network operations over extended periods.

Authors

Institutions

Publication Details

Published
2025-06-17
DOI
https://doi.org/10.1109/vtc2025-spring65109.2025.11174408
Primary Topic
Satellite Communication Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An Energy-Efficient Reliable Distributed Routing Algorithm for 6G LEO Satellite Networks

Phone Lin, Chai-Hien Gan, Ying‐Fang Su, Shun-Ren Yang et al.
Satellite Communication Systems
article

An Energy-Efficient Reliable Distributed Routing Algorithm for 6G LEO Satellite Networks

Phone Lin, Chai-Hien Gan, Ying‐Fang Su, Shun-Ren Yang, Xizhe Qiu
article en

Abstract

Low Earth Orbit (LEO) satellite networks, known for their low signal latency, are ideal for 6 G real-time communications and Internet access. However, they are confronted with considerable challenges, including instability and restricted power resources. It is importance to guarantee reliable and energy-efficient operations in order to maintain uninterrupted and high-quality service. We propose an Energy-Efficient Reliable Distributed Routing Algorithm (EERRA) that dynamically updates satellite information, prevents data loops, and optimizes transmission paths to avoid eclipse regions. This approach extends satellite lifetime and improves network performance. The simulation results show that EERRA outperforms existing algorithms, including Global, DRA, and DSRA, across multiple metrics. EERRA demonstrates exceptional performance in terms of average end-to-end delay, average hop count, signaling overhead, and satellite lifespan. Compared to DRA and DSRA, EERRA achieves lower average end-to-end delay and hop count, and significantly reduces signaling overhead compared to the Global algorithm. Furthermore, EERRA excels in maintaining the highest average residual energy and the lowest life cycle consumption. These attributes make EERRA a highly efficient solution for managing the complex dynamics of LEO satellite networks, ensuring sustainable and reliable network operations over extended periods.

ITRI International (US), National Taiwan University (TW), National Tsing Hua University (TW), Industrial Technology Research Institute (TW)
Openalex Percentile: Top 65%
Satellite Communication Systems
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.

An Energy-Efficient Reliable Distributed Routing Algorithm for 6G LEO Satellite Networks — Phone Lin, Chai-Hien Gan, et al. · (2025) | TGRS Research Map | TGRS