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Wireless Sensor Networks (WSNs) are capable of sensing, collecting data, processing it, and transmitting it to other devices. Many applications of WSNs face challenges associated with localization. This article introduces an enhanced DV-Hop localization method that employs chaotic human conception optimization alongside nonlinear dynamic acceleration coefficients to address localization challenges. The results have been validated through simulations. The effectiveness of this enhanced method was evaluated against earlier findings, showing improved localization accuracy and a decrease in both localization error and variance.

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An Enhanced DV-Hop Localization Algorithm for Wireless Sensor Networks using Chaotic Human Conception Optimization with Nonlinear Dynamic Acceleration Coefficients

  • 会议论文

  • 发表日期：

    2026年

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  • Subrat Kumar Panda,
  • Subinaya Mohapatra,
  • Dushmanta Kumar Das,
  • R. Kumar

摘要

Wireless Sensor Networks (WSNs) are capable of sensing, collecting data, processing it, and transmitting it to other devices. Many applications of WSNs face challenges associated with localization. This article introduces an enhanced DV-Hop localization method that employs chaotic human conception optimization alongside nonlinear dynamic acceleration coefficients to address localization challenges. The results have been validated through simulations. The effectiveness of this enhanced method was evaluated against earlier findings, showing improved localization accuracy and a decrease in both localization error and variance.