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Related Experiment Videos

Dynamic Fuzzy-Logic Based Path Planning for Mobility-Assisted Localization in Wireless Sensor Networks.

Abdullah Alomari1,2, William Phillips3, Nauman Aslam4

  • 1Department of Engineering Mathematics and Internetworking, Dalhousie University, Halifax, NS B3H 4R2, Canada. alomari@dal.ca.

Sensors (Basel, Switzerland)
|August 19, 2017
PubMed
Summary

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This study introduces a new fuzzy-logic based path planning method for mobile anchors in wireless sensor networks (WSNs). The FLPPL model enhances node localization accuracy and ratio, especially when anchor movement is limited.

Area of Science:

  • Computer Science
  • Electrical Engineering
  • Network Engineering

Background:

  • Mobile anchor path planning is crucial for node localization in wireless sensor networks (WSNs).
  • Traditional path planning requires ample energy and time, limiting its application in resource-constrained scenarios.
  • Limited mobility of mobile anchors necessitates dynamic path planning strategies.

Purpose of the Study:

  • To propose a novel distributed range-free movement mechanism for mobility-assisted localization in WSNs.
  • To address the challenge of limited mobile anchor movement.
  • To improve localization accuracy and ratio in WSNs.

Main Methods:

  • Development of a fuzzy-logic based approach for real-time path planning.
  • Utilizing network information and node deployment data for dynamic movement design.
Keywords:
Fuzzy-Logic based Path Planning for mobile anchor-assisted Localizationfuzzy-logiclocalization modelsmobility modelsoptimizationpath planningwireless sensor networks

Related Experiment Videos

  • Implementing a distributed range-free mechanism for mobility-assisted localization.

    • Main Results:

    • The proposed Fuzzy-Logic based Path Planning for mobile anchor-assisted Localization (FLPPL) model demonstrates superior performance.
    • Achieved significant improvements in localization accuracy compared to existing methods.
    • Enhanced localization ratio in wireless sensor networks.

    Conclusions:

    • The FLPPL model offers an effective solution for node localization in WSNs with limited mobile anchor movement.
    • Fuzzy-logic provides a robust framework for dynamic path planning in real-time.
    • The approach enhances the overall efficiency and effectiveness of WSN localization.