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September 10, 2025International Journal of Communication Systems

Optimization‐Driven Localization in Wireless Sensor Networks: A Comprehensive Review of Single and Hybrid Metaheuristic Approaches

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Authors

TKTajinder KaurMaharishi Markandeshwar University, MullanaJSJagdeep SinghChandigarh UniversityMSManminder SinghSant Longowal Institute of Engineering and Technology

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Overview

This review analyzes localization techniques in wireless sensor networks, highlighting hybrid metaheuristics and energy efficiency.

Key Points

  • Hybrid optimization models consistently achieve lower localization error compared to single-method techniques, improving overall system performance.
  • A comparative framework evaluates techniques based on metrics such as accuracy, energy consumption, and computational complexity across various studies.
  • The bibliometric analysis reveals current trends and key contributors in the field of wireless sensor networks and localization strategies.
  • Emerging trends in software-defined networking and machine learning integration point toward future advancements in localization methodologies.

Cite This Study

Kaur et al. (2025) studied this question.

synapsesocial.com/papers/68c1d5fe54b1d3bfb60f92d0https://doi.org/10.1002/dac.70213
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