New Strategies for Boosting Localization Accuracy in Wireless Sensor Nodes

Mohankumar T P; D. Ramesh

Abstract

Wireless Sensor Networks (WSNs), accurate and energy-efficient localization of sensor nodes remains a challenging task despite significant advancements. Current geolocation algorithms often struggle with scalability, adaptability, and energy efficiency, particularly in large-scale, dynamic environments where node failures or random shifts occur. This paper proposes a novel Secure Node Localization (SABWP-NL) approach, combining Self-Adaptive Binary Waterwheel Plant Optimization (SABWP) and Bayesian optimization to enhance localization accuracy, scalability, energy efficiency, and robustness. The method evaluates node trust using Dempster-Shafer Evidence Theory to secure localization against rogue nodes and optimizes the localization process through trilateral and multilateration systems. The SABWP-NL approach demonstrates superior performance in terms of localized nodes and localization error compared to existing techniques like BWP, ROA, and AO. Results show that SABWP-NL achieves the highest number of localized nodes and the lowest localization error, making it a promising solution for efficient and secure node localization in WSNs.

Keywords

Wireless Sensor Networks, Secure Node Localization (SABWP-NL) Approach, Bayesian optimization, Dempster-Shafer Evidence Theory.

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Cites this article as

M. T. P, D. Ramesh, "New Strategies for Boosting Localization Accuracy in Wireless Sensor Nodes", International Journal of Innovative Research in Computer Science and Technology (IJIRCST), Vol-12, no.6, pp.1-6, 2024. Available from: https://doi.org/10.55524/ijircst.2024.12.6.1

Corresponding Author

Mohankumar T P

Assistant Professor & Research Scholar, Master of Computer Applications, Sri Siddhartha Academy of Higher Education, Tumakuru, India

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