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Energy Efficient Range-Free Localization Algorithm for Wireless Sensor Networks.

Rekha Goyat1, Mritunjay Kumar Rai1, Gulshan Kumar2,3

  • 1School of Electronics and Electrical Engineering, Lovely Professional University, Phagwara, Punjab-144411, India.

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|August 22, 2019
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Summary
This summary is machine-generated.

This study introduces an energy-efficient localization algorithm for wireless sensor networks (WSNs). The novel method enhances precision by optimizing communication and reducing localization errors, improving network performance.

Keywords:
DV-Hop algorithmWireless Sensor Networkaccuracylocalizationrange-free

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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Network Engineering

Background:

  • Wireless Sensor Networks (WSNs) require precise localization for various applications.
  • Existing localization algorithms often face challenges with energy efficiency and accuracy.
  • Efficient localization is crucial for extending the operational lifespan of WSNs.

Purpose of the Study:

  • To propose a novel, energy-efficient localization algorithm for WSNs.
  • To enhance the precision of localization while minimizing energy consumption.
  • To reduce localization errors through an introduced correction factor.

Main Methods:

  • A three-step localization process is implemented.
  • Beacon nodes discover one-hop neighbors using MAC layer protocols to prevent packet collisions.
  • Unknown nodes are categorized into direct and indirect communication sets for energy optimization, utilizing a common beacon node in indirect communication.
  • A correction factor is applied, and localized nodes are upgraded to helper nodes.

Main Results:

  • The proposed algorithm demonstrates improved energy efficiency compared to existing methods.
  • Enhanced localization precision is achieved through the implemented strategy.
  • Simulations confirm the algorithm's effectiveness and superior performance.

Conclusions:

  • The developed algorithm offers a significant advancement in energy-efficient and precise localization for WSNs.
  • The strategy of node categorization and the use of a correction factor effectively reduce energy consumption and localization errors.
  • This approach contributes to more robust and longer-lasting WSN deployments.