Reptile Search and LLE Based Node Localization in WSN-Assisted IoT
Hina Singh, Preeti Yadav, Vinay Rishiwal, Dharm Singh Jat, Mano Yadav, Sushil Gnagwar · 2024
Wireless Sensor Networks (WSNs) are crucial to facilitate the Internet of Things (IoT) ecosystem for continuous data collection and information transmission to ensure the systematic analysis of various applications for decision-making. Localizing sensor nodes is essential to determine the physical location of the devices to optimize the network performance. In this article, we proposed an approach for sensor node localization in WSN-assisted IoT networks by commissioning an amalgamation of the Reptile Search Algorithm (RSA) and Locally Linear Embedding (LLE) algorithm. RSA adheres to the adaptive behavior of reptiles that efficiently explores the search space to estimate the potential node locations. Later, the LLE algorithm is applied to incorporate high-dimensional sensor node data into a lower-dimensional space. It also facilitates the preservation of local neighborhood relationships by enhancing localization accuracy. Simulation results validate the efficacy of the proposed approach to achieve improved sensor node localization in WSN-assisted IoT environments. Our findings highlight the significant reduction in localization error and computational Complexity for varying sensor nodes and fixed anchor nodes, with improved energy efficiency to underscore the potential of the proposed methodology. The proposed work can be implemented to improve the efficiency in sensor node localization for various real-life applications, viz., smart agriculture, healthcare, and others.