Renewable Energy Sources Efficient Detection in Triangulation for Wireless Sensor Networks

• Published in: IOP conference series. Materials Science and Engineering Vol. 1055; no. 1
• Main Authors: Barani Sundaram, B, Srinivas, Nunu, Kannaiya Raja, N, Kumar Mishra, Manish, Thirumoorthy, Dhanabal, Reddy, NR
• Format: Journal Article
• Language: English
• Published: Bristol IOP Publishing 01.02.2021
• Subjects: Algorithms; Centroid; Centroids; Error analysis; Hubs; Localization; Renewable energy sources; Triangulation; Trilateration; Wireless networks; Wireless sensor networks; wireless sensor networks (WSNs)
• ISSN: 1757-8981; 1757-899X
• DOI: 10.1088/1757-899X/1055/1/012135

It is important for wireless sensor networks (WSNs) to determine whether hubs can be restricted, called localizability recognition. This progression is important for confining hubs, achieving minimal organizations of effort and distinguishing critical in field-based applications. Because of their high calculation and communication costs, centralized graph algorithms are meaningless to an asset-restricted WSN, whereas distributed methodologies can skip a large number of hypothetically locatable hubs in a resource-limited WSN. In this document we are proposing a efficient and successful distributed methodology to solve that address of issue. In addition, we demonstrate our calculation accuracy and analyze the reasons why our calculation will discover increasingly localizable hubs while requiring less established area hubs. The paper introduces a new RSSI-based localization approach triangle as well as centroid placement, utilizing triangle as well as centroid approach to minimize RSSI measurement error. Modelling simulations show that this algorithm can significantly increase the precision of the location compared to the trilateration.