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Enhanced Localization In Wireless Sensor Networks Using A Bat-optimized Malicious Anchor Node Prediction Algorithm.

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Enhanced Localization In Wireless Sensor Networks Using A Bat-optimized Malicious Anchor Node Prediction Algorithm.

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Enhanced Localization in Wireless Sensor Networks Using a Bat-Optimized Malicious Anchor Node Prediction Algorithm.

Balachandran Nair Premakumari Sreeja¹, Gopikrishnan Sundaram², Marco Rivera³

¹Department of Information Technology, Karpagam College of Engineering, Myleripalayam Village, Coimbatore 641032, Tamil Nadu, India.

Sensors (Basel, Switzerland)

|January 8, 2025

View abstract on PubMed

Summary

This summary is machine-generated.

The new bat-optimized malicious anchor prediction (BO-MAP) algorithm enhances wireless sensor network (WSN) security and localization accuracy. It effectively identifies malicious nodes, outperforming existing methods in simulations.

Keywords:

bat optimization clustering localization malicious nodes probabilistic analysis wireless sensor networks

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Area of Science:

Computer Science
Network Security
Wireless Sensor Networks

Background:

Node localization accuracy is critical for Wireless Sensor Networks (WSNs) used in security and environmental monitoring.
Malicious nodes compromise WSN integrity, causing inaccurate positioning and reduced functionality.

Purpose of the Study:

To propose a novel algorithm, BO-MAP, for security-aware localization in WSNs.
To enhance both localization precision and network security by effectively identifying and isolating malicious nodes.

Main Methods:

Developed the bat-optimized malicious anchor prediction (BO-MAP) algorithm.
Integrated bat optimization with density-based clustering and probabilistic analysis for malicious node detection.
Evaluated performance against six state-of-the-art localization algorithms.

Main Results:

BO-MAP significantly outperformed existing methods in true positive rate, false positive rate, localization accuracy, energy efficiency, and computational efficiency.
Achieved a 95% true positive rate and a 5% false positive rate, with an AUC of 0.98.
Demonstrated consistent reliability under varying attack severities and network conditions.

Conclusions:

BO-MAP offers a robust solution for secure and accurate localization in WSNs.
The algorithm's effectiveness and reliability make it suitable for practical WSN deployments.
BO-MAP represents a significant advancement in securing WSNs against malicious node attacks.