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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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Load-Balancing Routing for LEO Satellite Network with Distributed Hops-Based Back-Pressure Strategy.

Chi Han1, Wei Xiong1,2, Ronghuan Yu1,2

  • 1Science and Technology on Complex Electronic System Simulation Laboratory, Space Engineering University, Beijing 101400, China.

Sensors (Basel, Switzerland)
|December 23, 2023
PubMed
Summary

A new routing protocol, distributed hops-based back-pressure (DHBP), balances traffic in Low Earth Orbit (LEO) satellite networks. DHBP improves throughput and reduces delay, especially under high network load conditions.

Keywords:
LEO satellite networkback-pressure routinghops-countload-balancingrouting protocol

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Area of Science:

  • Computer Science
  • Network Engineering
  • Satellite Communications

Background:

  • Low Earth Orbit (LEO) satellite networks face load disequilibrium due to expanding user scale, unbalanced regional traffic, and bursty network patterns.
  • Effective routing protocols are crucial for managing traffic and ensuring network performance in dynamic LEO environments.

Purpose of the Study:

  • To propose a novel distributed routing protocol, Distributed Hops-based Back-pressure (DHBP), to address load disequilibrium in LEO satellite networks.
  • To enhance network efficiency by optimizing traffic distribution and minimizing congestion.

Main Methods:

  • DHBP theoretically derives minimum end-to-end propagation hops for routing decisions in inclined-orbit LEO networks.
  • Link weights are determined by the remaining hops to destination satellites.
  • A restricted rectangular propagation region is used to control retransmission paths and reduce costs.
  • The protocol is designed for distributed operation, enabling dynamic shortest link selection without requiring full network topology knowledge.

Main Results:

  • DHBP demonstrates higher throughput compared to existing state-of-the-art routing protocols.
  • The protocol achieves lower network delay, particularly under high load conditions.
  • Simulations confirm DHBP's effectiveness in balancing traffic distribution and mitigating load disequilibrium.

Conclusions:

  • DHBP offers an effective solution for load balancing and traffic management in LEO satellite networks.
  • The distributed nature and hop-based approach of DHBP contribute to improved network performance and scalability.
  • DHBP presents a promising routing strategy for future LEO satellite communication systems.