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GTIACO: energy efficient clustering algorithm based on game theory and improved ant colony optimization

Author

Listed:
  • Hang Wan

    (Hubei University of Technology)

  • Zhizhuo Qiu

    (Hubei University of Technology)

  • Rui Quan

    (Hubei University of Technology)

  • Michael David

    (University of Lorraine)

  • William Derigent

    (University of Lorraine)

Abstract

Recently, wireless sensor networks have been widely used for environmental and structural safety monitoring. However, node batteries cannot be replaced or easily recharged in harsh environments. Maximizing network lifetime remains a challenging issue in designing WSN routing. This paper introduces GTIACO, a novel metaheuristic clustering protocol. It employs an optimal cluster head function to determine cluster number and utilizes game theory for selecting optimal cluster heads. To optimize inter-cluster routing, improved ant colony optimization (ACO) is introduced to construct gathering paths from clusters to the base station. Both blind pathways, pheromone concentration, and angle factors are considered to improve path exploration and transmission efficiency in ant colonies. To assess network performance, various scenarios involving different base station placements and network densities are examined. Experimental results demonstrate GTIACO's superiority over LEACH, ACO, SEP, and PRESPE protocols in network lifetime, stability, energy, and throughput. The proposed GTIACO shows an improvement of at least 4.3% in network lifetime and 32.8% in network throughout. It exhibits superior stability and transmission efficiency across diverse network densities.

Suggested Citation

  • Hang Wan & Zhizhuo Qiu & Rui Quan & Michael David & William Derigent, 2024. "GTIACO: energy efficient clustering algorithm based on game theory and improved ant colony optimization," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 86(3), pages 463-480, July.
    • Handle: RePEc:spr:telsys:v:86:y:2024:i:3:d:10.1007_s11235-024-01132-7
    DOI: 10.1007/s11235-024-01132-7
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