Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Optimized Localization of Unknown Sensors in WSN-based Smart Agriculture Systems

Version 1 : Received: 15 January 2024 / Approved: 16 January 2024 / Online: 16 January 2024 (09:58:52 CET)

A peer-reviewed article of this Preprint also exists.

Hassan, E.S.; Alharbi, A.A.; Oshaba, A.S.; El-Emary, A. Enhancing Smart Irrigation Efficiency: A New WSN-Based Localization Method for Water Conservation. Water 2024, 16, 672. Hassan, E.S.; Alharbi, A.A.; Oshaba, A.S.; El-Emary, A. Enhancing Smart Irrigation Efficiency: A New WSN-Based Localization Method for Water Conservation. Water 2024, 16, 672.

Abstract

In wireless sensor networks (WSNs) deployed in smart agriculture systems, accurately determining the locations of sensor nodes is crucial for efficient monitoring and control. However, in many cases, the exact positions of certain sensor nodes may be unknown. To address this challenge, this paper presents a novel method for localizing unknown sensor nodes in WSN-based smart agriculture systems using range measurements. The proposed method utilizes the Levenberg-Marquardt optimization algorithm to solve a nonlinear least squares problem and minimize the error in estimating the unknown node locations. By leveraging the known positions of a subset of sensor nodes and the inexact distance measurements between pairs of nodes, the localization problem is transformed into a nonlinear optimization problem. To validate the effectiveness of the approach, extensive simulations and experiments were conducted. The results demonstrate that the proposed method achieves accurate localization of the unknown sensor nodes, effectively enhancing the overall performance of the WSN-based smart agriculture system. Furthermore, the method demonstrates robustness against measurement noise and scalability for large-scale networks. The practical implications of this research extend beyond smart agriculture systems, as the proposed method can be applied to various WSN applications where precise node localization is essential.

Keywords

wireless sensor networks; smart agriculture; node localization; Levenberg-Marquardt method; nonlinear least squares

Subject

Engineering, Electrical and Electronic Engineering

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