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Energy-efficient Optimization of Reorganization-Enabled Wireless Sensor Networks.

Xue Wang1, Liang Ding2, Dao-Wei Bi3

  • 1State Key Laboratory of Precision Measurement Technology and Instruments, Tsinghua University, Beijing 100084, P. R. China. wangxue@mail.tsinghua.edu.cn.

Sensors (Basel, Switzerland)
|September 15, 2017
PubMed
Summary
This summary is machine-generated.

This study introduces an energy-efficient approach for target tracking in wireless sensor networks (WSNs). The method optimizes sensor node activation for accurate tracking while conserving energy, extending network lifespan.

Keywords:
Wireless sensor networksenergy-efficientoptimizationreorganization-enabled

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Area of Science:

  • Wireless Sensor Networks
  • Optimization Algorithms
  • Target Tracking

Background:

  • Random sensor node deployment in WSNs presents challenges for energy-efficient target tracking.
  • Balancing tracking accuracy with energy consumption is critical for WSN longevity.

Purpose of the Study:

  • To propose an energy-efficient optimization approach for target tracking in randomly deployed WSNs.
  • To enhance tracking accuracy while minimizing energy consumption and prolonging network lifetime.

Main Methods:

  • A three-phase approach: prediction using a particle filter, energy-efficient localization, and a genetic-algorithm-based recovery mechanism.
  • Energy efficiency is quantified by the ratio of mutual information to energy consumption.
  • The genetic algorithm minimizes the number of additional sensor nodes activated during target recapture.

Main Results:

  • The proposed approach demonstrates excellent target tracking performance.
  • Significant reduction in energy consumption compared to existing methods.
  • Prolonged network lifetime and reduced network overheads were observed.

Conclusions:

  • The developed energy-efficient optimization strategy effectively addresses the target tracking problem in WSNs.
  • The approach offers a practical solution for enhancing WSN performance and extending operational duration.