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<p>This article explores the dynamic positioning (DP) of load-switched networked unmanned surface vessels (NUSVs) under long-duration DoS (denial-of-service) attacks (LDAs) using a switched systems approach. Existing load quantification methods for NUSVs often exhibit considerable errors during critical load fluctuations, significantly impacting stability. To address this issue, we propose a logarithmic quantizer designed to enhance sensitivity and accuracy in load measurement, thereby minimizing errors and improving resource utilization. Existing studies of NUSVs struggle to adapt to LDAs, leading to unchanged state relationships before and after switching, undermining stability. To tackle this challenge, we introduce an LDA-responsive switching scheme that dynamically adjusts the closed-loop system (CLS) transitions based on the presence of LDAs. Dual-terminal event-triggered mechanisms are also integrated to improve communication efficiency among NUSVs. The effectiveness and practicality of our proposed approaches are validated through comprehensive simulations, demonstrating its potential to enhance the resilience and performance of NUSVs in the face of LDAs.</p>

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Dynamic positioning for load-switched networked USVs utilizing logarithmic quantization against long-duration DoS attacks

  • 期刊论文

  • 发表日期：

    2025年9月5日

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  • Hanyu Li,
  • Lili Li,
  • Yufeng Lin,
  • Bo Wang

摘要

This article explores the dynamic positioning (DP) of load-switched networked unmanned surface vessels (NUSVs) under long-duration DoS (denial-of-service) attacks (LDAs) using a switched systems approach. Existing load quantification methods for NUSVs often exhibit considerable errors during critical load fluctuations, significantly impacting stability. To address this issue, we propose a logarithmic quantizer designed to enhance sensitivity and accuracy in load measurement, thereby minimizing errors and improving resource utilization. Existing studies of NUSVs struggle to adapt to LDAs, leading to unchanged state relationships before and after switching, undermining stability. To tackle this challenge, we introduce an LDA-responsive switching scheme that dynamically adjusts the closed-loop system (CLS) transitions based on the presence of LDAs. Dual-terminal event-triggered mechanisms are also integrated to improve communication efficiency among NUSVs. The effectiveness and practicality of our proposed approaches are validated through comprehensive simulations, demonstrating its potential to enhance the resilience and performance of NUSVs in the face of LDAs.