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<p>Underwater Acoustic Sensor Networks (UASNs) function in harsh conditions where signals undergo multipath fading, noise, and high end-to-end delays which cause high power consumption, data loss, and delays respectively. Responding to these challenges requires efficient protocol solutions. Hence, the Recursive Luby Transform Code-based Hybrid Automatic Repeat request (RLTCH) protocol is developed in this paper and enhanced by using Stochastic Network Calculus (SNC). The proposed protocol utilizes Recursive Luby Transform (RLT) codes primarily for increasing reliability and energy efficiency since it repeats codes selectively. Other parameters of the system that have been simulated and analyzed with an SNC-based approach include end-to- end delay, throughput, energy efficiency, packet loss probability and control overhead. According to the simulated results, RLTCH achieves power saving by 30%, and packet loss by 20% in comparison with existing HARQ (hybrid automatic repeat request) approaches.</p>

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A novel and hybrid protocol for enhancing efficiency of underwater acoustic sensor networks (UASNs)

  • 期刊论文

  • 发表日期：

    2025年10月25日

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  • A. Sivajayaprakash,
  • Rajeev Sukumaran

摘要

Underwater Acoustic Sensor Networks (UASNs) function in harsh conditions where signals undergo multipath fading, noise, and high end-to-end delays which cause high power consumption, data loss, and delays respectively. Responding to these challenges requires efficient protocol solutions. Hence, the Recursive Luby Transform Code-based Hybrid Automatic Repeat request (RLTCH) protocol is developed in this paper and enhanced by using Stochastic Network Calculus (SNC). The proposed protocol utilizes Recursive Luby Transform (RLT) codes primarily for increasing reliability and energy efficiency since it repeats codes selectively. Other parameters of the system that have been simulated and analyzed with an SNC-based approach include end-to- end delay, throughput, energy efficiency, packet loss probability and control overhead. According to the simulated results, RLTCH achieves power saving by 30%, and packet loss by 20% in comparison with existing HARQ (hybrid automatic repeat request) approaches.