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A RSS-based path loss model approaches multi-dimensional scaling to localize 2D sensor nodes in WSN

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Abstract

Sugar cane fertility is based on soil properties, so it is necessary to monitor soil nutrients. Soil nutrient origin is difficult to monitor for the remote user; therefore, the localization approach is used to know the exact position of the sensor node. Multi-dimensional scaling is the prominent method of localization that works by data similarity. Hence, a classical multi-dimensional scaling (CMDS) method is introduced to solve the localization problem in 2-dimensional (2D) WSN. The exponential water cycle algorithm is utilized to model the path loss and the sensor node localization on the sugarcane field obtained by the Procrustes transformation strategy. The Procrustes analysis provides the best solution compared to the existing transformation. As a result, the proposed method has reduced the localization error to 10.5% compared to the Monte Carlo method.

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Authors and Affiliations

  1. Department of Electronics and Communication Engineering, KLE Dr. M.S Sheshgiri College of Engineering and Technology, Belagavi, Affiliated to VTU Belagavi, Belagavi, Karnataka, 590008, India

    Vijay Rayar, Udaykumar Naik & Prabhakar S. Manage

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  1. Vijay Rayar
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  2. Udaykumar Naik
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  3. Prabhakar S. Manage
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Correspondence to Vijay Rayar.

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Rayar, V., Naik, U. & Manage, P.S. A RSS-based path loss model approaches multi-dimensional scaling to localize 2D sensor nodes in WSN. Peer-to-Peer Netw. Appl. 16, 1609–1623 (2023). https://doi.org/10.1007/s12083-023-01476-y

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