Path Planning for Mobile-Anchor Based Wireless Sensor Networks Localization: Obstacle-Presence Schemes

Area of Science:

• Computer Science
• Electrical Engineering
• Networking

Background:

• Wireless Sensor Networks (WSNs) often require accurate node localization.
• Mobile anchors (MAs) with GPS are used to locate unknown nodes (UNNs).
• Optimizing MA path planning is crucial for accuracy, coverage, and speed.

Purpose of the Study:

• To propose a novel path planning approach for MA-based WSN localization.
• To evaluate the proposed approach against existing static path planning models.
• To assess performance in scenarios with obstacles.

Main Methods:

• Introduction of the Nested Hexagon Curves (NHexCurves) path planning model.
• Comparison with five existing static path planning models.
• Utilizing Weighted Centroid Localization (WCL) and Accuracy Priority Trilateration (APT) techniques.
• Employing obstacle-handling trajectories for performance evaluation.

Main Results:

• The NHexCurves model demonstrates superior performance in obstacle-presence scenarios.
• The proposed model achieves full coverage and high localization accuracy.
• NHexCurves effectively reduces the negative impact of obstacles on localization.
• Simulation results highlight the advantages of NHexCurves over existing schemes, particularly the H-curve model.

Conclusions:

• NHexCurves is an effective path planning strategy for MA-based WSN localization.
• The model offers improved accuracy and coverage, especially in challenging environments.
• NHexCurves provides a significant advancement for WSN localization efficiency and precision.