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Multi-Objective Optimisation in Multi-QoS Routing Strategy for Software-Defined Satellite Network.

Yang Wu1, Guyu Hu1, Fenglin Jin1

  • 1College of Command and Control Engineering, Army Engineering University of PLA, Nanjing 210007, China.

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Summary
This summary is machine-generated.

A new interval-type-2 fuzzy set routing algorithm enhances software-defined satellite networks. This method optimizes routing, reducing delay and packet loss while boosting throughput for better global communication.

Keywords:
Network Simulatorinterval type-2 fuzzy setquality of service routing strategysoftware-defined satellite network

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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Telecommunications

Background:

  • Satellite networks are crucial for global communication, facing complex Quality of Service (QoS) demands.
  • Developing effective routing strategies for software-defined satellite networks (SDSN) is a significant challenge.

Purpose of the Study:

  • To address the multi-QoS routing problem in SDSNs.
  • To propose an interval-type-2 fuzzy set routing algorithm for improved network performance.

Main Methods:

  • Modeling the multi-QoS routing problem in SDSNs.
  • Developing and applying an interval-type-2 fuzzy set algorithm for fuzzy decision-making in routing.
  • Conducting experiments using Network Simulator (Version 2.35).

Main Results:

  • The proposed algorithm effectively reduces average network delay.
  • The algorithm leads to an increase in total network throughput.
  • A significant reduction in packet drop rate was observed.

Conclusions:

  • The interval-type-2 fuzzy set routing algorithm offers a viable solution for optimizing routing in SDSNs.
  • This approach enhances network efficiency by improving key performance metrics.
  • The findings support the integration of fuzzy logic for complex satellite network management.