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Related Experiment Video

Updated: Sep 1, 2025

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An Energy-Efficient Clustering Method for Target Tracking Based on Tracking Anchors in Wireless Sensor Networks.

Zhiyi Qu1,2, Baoqing Li1

  • 1Science and Technology on Micro-System Laboratory, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 201800, China.

Sensors (Basel, Switzerland)
|August 12, 2022
PubMed
Summary

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This study introduces a tracking-anchor-based clustering method (TACM) for wireless sensor networks (WSNs). TACM reduces energy consumption and prolongs network lifetime by efficiently tracking moving targets with less overhead.

Area of Science:

  • Computer Science
  • Electrical Engineering
  • Network Engineering

Background:

  • Wireless Sensor Networks (WSNs) are crucial for target tracking applications.
  • Clustering improves energy efficiency in WSNs by enabling data fusion and reducing communication costs.
  • Existing dynamic clustering methods often incur significant overhead from frequent reconstruction and redundant data transmission.

Purpose of the Study:

  • To propose a novel energy-efficient clustering method for target tracking in WSNs.
  • To address the limitations of existing methods regarding overhead and redundant transmissions.
  • To enhance the network lifetime in mobile target tracking scenarios.

Main Methods:

  • Introduced tracking anchors to provide sensor activation indications based on target location.
Keywords:
clustering methodenergy efficiencytarget trackingwireless sensor networks

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  • Utilized the rough fuzzy C-means (RFCM) algorithm for anchor localization.
  • Employed a membership table for sensor activation and cluster formation.
  • Implemented linear 0-1 programming for scheduling cluster member states to minimize redundant transmissions.

    • Main Results:

    • The proposed Tracking-Anchor-Based Clustering Method (TACM) significantly reduces energy consumption compared to existing methods.
    • TACM effectively prolongs the network lifetime in mobile target tracking scenarios.
    • Tracking anchors, with their reduced task burden, minimize the frequency of cluster rotation.

    Conclusions:

    • TACM offers a more energy-efficient solution for target tracking in WSNs.
    • The method successfully mitigates the overhead associated with dynamic cluster adjustments.
    • TACM enhances the overall performance and longevity of WSNs in tracking applications.