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A mobile anchor assisted localization algorithm based on regular hexagon in wireless sensor networks.

Guangjie Han1, Chenyu Zhang2, Jaime Lloret3

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This study introduces a mobile anchor assisted localization algorithm for wireless sensor networks (WSNs). The MAALRH algorithm improves localization accuracy and ratio using mobile GPS anchors and trilateration.

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Area of Science:

  • Wireless Sensor Networks (WSNs)
  • Localization Technologies
  • Geospatial Positioning Systems

Background:

  • Localization is crucial for location-aware applications in WSNs.
  • GPS units on all nodes are infeasible due to cost and power constraints in large-scale WSNs.
  • Mobile anchors with GPS offer a viable solution for localizing unknown nodes.

Purpose of the Study:

  • To propose a novel mobile anchor assisted localization algorithm for 2D WSNs.
  • To enhance coverage across the entire monitoring area using a boundary compensation method.
  • To evaluate the proposed algorithm's performance against existing methods.

Main Methods:

  • Developed the Mobile Anchor Assisted Localization Algorithm based on Regular Hexagon (MAALRH).
  • Utilized mobile anchors broadcasting GPS locations to assist unknown nodes.
  • Employed trilateration for position calculation by unknown nodes.
  • Implemented a boundary compensation method for full area coverage.

Main Results:

  • MAALRH demonstrates high localization ratio and accuracy.
  • Performance is effective when communication range meets trajectory resolution requirements.
  • Comparative analysis shows MAALRH outperforms HILBERT, CIRCLES, and S-CURVES algorithms.

Conclusions:

  • MAALRH is an efficient algorithm for WSN localization using mobile anchors.
  • The algorithm provides a practical solution for large-scale WSN deployment.
  • Achieves superior localization performance under specific network conditions.