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September 10, 2025International Research Journal of Multidisciplinary ScopeOpen Access

Tuna Swarm Algorithm Based Robust Node Localization Scheme in Wireless Communication Networks

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Authors

JPJ. K. PeriasamySMShrabani MallickSCSridevi Chitti

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Overview

Tuna swarm algorithm enhances localization accuracy in wireless sensor networks, suggesting improved data collection efficiency.

Key Points

  • TSA-RNL significantly improves localization accuracy in wireless sensor networks and enhances data collection efficiency.
  • Extensive simulations show the TSA-RNL model outperforms traditional localization methods in achieving high accuracy.
  • The TSA utilizes collective behavior from tuna fish to optimize node positioning through iterative refinement.
  • Accurate node localization supports various applications including environmental monitoring and asset tracking.

Cite This Study

Periasamy et al. (2025) studied this question.

synapsesocial.com/papers/68c1ad6354b1d3bfb60e58b3https://doi.org/10.47857/irjms.2025.v06i03.04022
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