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A topology control algorithm for fusion networks based on link quality.

Wei Lian Suo1, Huan Shen Hao1, Ma Long Yu1

  • 1School of Information Engineering, Suqian University, SuQian, Jiangsu 223800, China.

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|October 17, 2023
PubMed
Summary

This study introduces a novel network topology control algorithm using ordinal potential games and Theil entropy to extend network lifespan. The enhanced algorithm effectively reduces redundant links and balances energy consumption for improved network performance.

Keywords:
A Network Topology Control Algorithm Based on the Fusion of Thiel Entropy and Potential Game Theory(PG-ORTC)Potential gameTheil entropyTopology controlWireless sensor network

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Area of Science:

  • Computer Science
  • Network Engineering
  • Game Theory

Background:

  • Wireless sensor networks require efficient topology control to prolong operational lifespan.
  • Existing algorithms face challenges in balancing energy consumption and network connectivity.

Purpose of the Study:

  • To develop an advanced network topology control algorithm for extending network life.
  • To improve energy efficiency and reduce network redundancy through a novel approach.

Main Methods:

  • Introduction of an ordinal potential game into network topology control.
  • Design of a Theil entropy-based revenue function incorporating node residual energy and neighbor information.
  • Development of a segmentation function using primary and secondary payoff functions to calculate model payoff.

Main Results:

  • The proposed algorithm effectively eliminates redundant links and reduces node degree and network link length.
  • Balanced node energy consumption and enhanced network load were observed.
  • Simulation experiments demonstrated superior performance compared to 3DK-RNG, DEBA, and EFPC algorithms.

Conclusions:

  • The fusion of Theil entropy and ordinal potential games offers a superior network topology control method.
  • The developed algorithm significantly extends network lifecycle and enhances overall network performance.
  • This approach provides a robust solution for energy-efficient and sustainable network operation.