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This study introduces an obstacle-tolerant path planning (OTPP) approach for mobile anchor node-assisted localization (MANAL) in wireless sensor networks. OTPP improves sensor location accuracy and coverage in environments with obstacles.

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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Network Engineering

Background:

  • Wireless sensor networks (WSNs) require accurate location information for various applications.
  • Mobile anchor node-assisted localization (MANAL) offers a cost-effective solution for WSN localization.
  • Existing MANAL path planning methods often fail in realistic environments with obstacles.

Purpose of the Study:

  • To propose a novel obstacle-tolerant path planning (OTPP) approach for MANAL.
  • To address the challenge of sensor localization when obstacles block the mobile anchor node's path.
  • To ensure reliable location information reception for all sensor nodes despite environmental obstructions.

Main Methods:

  • Developed the obstacle-tolerant path planning (OTPP) algorithm.
  • Optimized beacon point number and path planning for mobile anchor nodes.
  • Ensured sensor nodes receive necessary location information from the mobile anchor node.

Main Results:

  • OTPP effectively overcomes localization issues caused by obstacle blockage in WSNs.
  • The approach reduces the total number of beacon points required compared to traditional methods like Z-curves.
  • Experimental results show OTPP outperforms Z-curves in reducing localization error and enhancing coverage.

Conclusions:

  • OTPP is a robust and efficient solution for MANAL in obstacle-present WSN environments.
  • The proposed method enhances localization accuracy and coverage while minimizing communication overhead.
  • OTPP represents a significant advancement for practical WSN deployment in complex terrains.