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A localized coverage preserving protocol for wireless sensor networks.

Yuheng Liu1, Juhua Pu, Shuo Zhang

  • 1School of Computer Science and Engineering, Beihang University, Beijing, 100191, P.R. China; E-Mails: pujh@buaa.edu.cn ; reimiss@gmail.com ; lyunlu@gmail.com ; xiongz@buaa.edu.cn.

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Summary
This summary is machine-generated.

Redundant wireless sensor nodes waste energy. This study introduces a new rule for node eligibility and a protocol to turn off excess nodes, extending network life while maintaining coverage.

Keywords:
Coverage Control ProtocolOff-duty Eligibility RulePerimeter CoverageWireless Sensor Networks

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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Network Engineering

Background:

  • Wireless sensor networks (WSNs) face energy depletion due to coverage-redundant nodes.
  • Existing methods for node deactivation lack sufficient and necessary conditions, leading to coverage gaps or inefficiency.

Purpose of the Study:

  • To propose a complete Eligibility Rule based on Perimeter Coverage (ERPC) for identifying redundant nodes in WSNs.
  • To introduce a Coverage Preserving Protocol (CPP) for scheduling node states to prolong network lifetime while ensuring coverage.

Main Methods:

  • Developed ERPC with O(N(2)log(N)) computational complexity, improving upon existing protocols.
  • Designed CPP as a localized protocol for dynamic adaptability and configurable coverage degrees.
  • Compared CPP's performance against the Ottawa protocol and Coverage Control Protocol (CCP) through simulations.

Main Results:

  • CPP successfully identifies all eligible nodes, avoiding blind spots unlike CCP.
  • CPP utilizes fewer active nodes than the Ottawa protocol to maintain network coverage.
  • Simulations confirm CPP significantly extends network lifetime while preserving desired coverage levels.

Conclusions:

  • The proposed ERPC and CPP offer an efficient and accurate solution for energy conservation in WSNs.
  • CPP provides superior adaptability and configurable coverage compared to existing protocols.
  • This approach effectively balances network lifetime extension with consistent sensing coverage.