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<p>In this study, a novel power control algorithm is introduced, which utilises a distributed cooperative game framework. The objective of this algorithm is to address the challenges posed by severe path fading, limited node energy, significant interference between nodes, and the complexities associated with centralised control in underwater acoustic sensor networks, primarily due to the unfavourable communication environment. The relay node effectively manages interference power among users through the implementation of pricing mechanisms, while users mitigate interference through cooperative game strategies and distributed power control based on local channel information. Additionally, the incorporation of residual energy into users’ utility function is proposed, and the optimisation of transmission power of nodes is further enhanced by leveraging the proportion of residual energy. The results of simulation show that the system capacity of the proposed algorithm is 30.9% higher than that of the Spectrum Allocation on Cournot Game (SACG) algorithm, and the fairness of the proposed algorithm is 10.1% higher than that of the adaptive power allocation (APA) algorithm, at the same time, the proposed algorithm’s ability to decrease energy consumption, and improve the communication quality of the whole network.</p>

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Research on distributed UWSN power control algorithm based on cooperative game

  • 期刊论文

  • 发表日期：

    2025年2月12日

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  • Libin Xue,
  • Chunjie Cao

摘要

In this study, a novel power control algorithm is introduced, which utilises a distributed cooperative game framework. The objective of this algorithm is to address the challenges posed by severe path fading, limited node energy, significant interference between nodes, and the complexities associated with centralised control in underwater acoustic sensor networks, primarily due to the unfavourable communication environment. The relay node effectively manages interference power among users through the implementation of pricing mechanisms, while users mitigate interference through cooperative game strategies and distributed power control based on local channel information. Additionally, the incorporation of residual energy into users’ utility function is proposed, and the optimisation of transmission power of nodes is further enhanced by leveraging the proportion of residual energy. The results of simulation show that the system capacity of the proposed algorithm is 30.9% higher than that of the Spectrum Allocation on Cournot Game (SACG) algorithm, and the fairness of the proposed algorithm is 10.1% higher than that of the adaptive power allocation (APA) algorithm, at the same time, the proposed algorithm’s ability to decrease energy consumption, and improve the communication quality of the whole network.