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Sensor Node Activation Using Bat Algorithm for Connected Target Coverage in WSNs.

Jaemin Kim1, Younghwan Yoo1

  • 1School of Electrical and Computer Engineering, Pusan National University, Busan 46241, Korea.

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|July 9, 2020
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Summary
This summary is machine-generated.

This study introduces a novel sensor activation method using a bat algorithm (BA) to improve wireless sensor network lifetime. The bat couple approach enhances target coverage and energy efficiency in sensor networks.

Keywords:
bat algorithmconnected target coverageprobabilistic sensing modelsensor node activationwireless sensor networks

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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Artificial Intelligence

Background:

  • Nature-inspired algorithms (NIAs) are effective for optimization problems.
  • Wireless sensor networks (WSNs) face challenges in target coverage and energy efficiency.
  • Existing methods often use a binary sensing model, which is less practical.

Purpose of the Study:

  • To propose a sensor node activation method for target coverage using NIAs.
  • To enhance energy efficiency and network lifetime in WSNs.
  • To introduce a probabilistic sensing model for more realistic coverage.

Main Methods:

  • Formulating the sensor target coverage problem as an objective function.
  • Applying the bat algorithm (BA), a type of NIA.
  • Introducing a 'bat couple' concept for coordinated sensing and data forwarding.
  • Utilizing a probabilistic sensing model instead of a binary one.

Main Results:

  • The proposed bat couple method ensures connectivity from active sensors to the sink.
  • The probabilistic sensing model provides a more realistic approach to target detection.
  • Simulation results demonstrate superior performance in terms of network lifetime compared to other methods.

Conclusions:

  • The bat couple approach effectively addresses the sensor node activation problem.
  • The probabilistic sensing model improves the practical applicability of coverage algorithms.
  • This method offers significant improvements in WSN energy efficiency and longevity.