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<p>Underwater acoustic sensor network (UASN) is a key technology for the development of Internet of Underwater Things (IoUT) applications. It comprises of sensor nodes to sense and measure oceanographic information. IoUT is the enabling technology that helps to connect ocean environment to real world applications with the use of UASN. However, the lack of GPS, low bandwidth, and the hostile environment of UASN make it challenging to realize node localization. Multiple anchor nodes enhance location precision; nonetheless, their failure reduces network lifetime. Earlier research has tackled this issue utilizing multiple anchor nodes but failed to handle fault tolerance while being energy effective. Thus, a fault-resilient single anchor-based iterative localization (FSAIL) scheme is proposed to increase localization accuracy and network lifetime with reduced complexity. The proposed method continuously assess the anchor node's energy against the threshold value to select a new anchor node. Further, localization accuracy is enhanced using a fast convergent self-adaptive naked mole-rat algorithm (SAMRA). Simulation results show that the FSAIL saves energy by 48.43% and improves accuracy by 38.46% with a convergence time of 6.3&#xa0;s.</p>

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FSAIL: Fault-Resilient Single Anchor Based Iterative Localization Scheme in Underwater Acoustic Sensor Network for IoUT Application

  • 期刊论文

  • 发表日期：

    2025年3月1日

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  • Kammula Sunil Kumar,
  • Deepak Singh,
  • Veena Anand

摘要

Underwater acoustic sensor network (UASN) is a key technology for the development of Internet of Underwater Things (IoUT) applications. It comprises of sensor nodes to sense and measure oceanographic information. IoUT is the enabling technology that helps to connect ocean environment to real world applications with the use of UASN. However, the lack of GPS, low bandwidth, and the hostile environment of UASN make it challenging to realize node localization. Multiple anchor nodes enhance location precision; nonetheless, their failure reduces network lifetime. Earlier research has tackled this issue utilizing multiple anchor nodes but failed to handle fault tolerance while being energy effective. Thus, a fault-resilient single anchor-based iterative localization (FSAIL) scheme is proposed to increase localization accuracy and network lifetime with reduced complexity. The proposed method continuously assess the anchor node's energy against the threshold value to select a new anchor node. Further, localization accuracy is enhanced using a fast convergent self-adaptive naked mole-rat algorithm (SAMRA). Simulation results show that the FSAIL saves energy by 48.43% and improves accuracy by 38.46% with a convergence time of 6.3 s.