Open Access

ARTICLE

A Modified Search and Rescue Optimization Based Node Localization Technique in WSN

Suma Sira Jacob^1,*, K. Muthumayil², M. Kavitha³, Lijo Jacob Varghese⁴, M. Ilayaraja⁵, Irina V. Pustokhina⁶, Denis A. Pustokhin⁷

1 Department of Computer Science and Engineering, Christian College of Engineering and Technology, Oddanchatram, 624619, India
2 Department of Information Technology, PSNA College of Engineering and Technology, Dindigul, 624622, India
3 Department of Electronics and Communication Engineering, K. Ramakrishnan College of Technology, Tiruchirappalli, 621112, India
4 Department of Electrical and Electronics Engineering, Christian College of Engineering and Technology, Oddanchatram, 624619, India
5 School of Computing, Kalasalingam Academy of Research and Education, Krishnankoil, 626128, India
6 Department of Entrepreneurship and Logistics, Plekhanov Russian University of Economics, Moscow, 117997, Russia
7 Department of Logistics, State University of Management, Moscow, 109542, Russia

* Corresponding Author: Suma Sira Jacob. Email:

Computers, Materials & Continua 2022, 70(1), 1229-1245. https://doi.org/10.32604/cmc.2022.019019

Received 19 March 2021; Accepted 20 April 2021; Issue published 07 September 2021

Abstract

Wireless sensor network (WSN) is an emerging technology which find useful in several application areas such as healthcare, environmental monitoring, border surveillance, etc. Several issues that exist in the designing of WSN are node localization, coverage, energy efficiency, security, and so on. In spite of the issues, node localization is considered an important issue, which intends to calculate the coordinate points of unknown nodes with the assistance of anchors. The efficiency of the WSN can be considerably influenced by the node localization accuracy. Therefore, this paper presents a modified search and rescue optimization based node localization technique (MSRO-NLT) for WSN. The major aim of the MSRO-NLT technique is to determine the positioning of the unknown nodes in the WSN. Since the traditional search and rescue optimization (SRO) algorithm suffers from the local optima problem with an increase in number of iterations, MSRO algorithm is developed by the incorporation of chaotic maps to improvise the diversity of the technique. The application of the concept of chaotic map to the characteristics of the traditional SRO algorithm helps to achieve better exploration ability of the MSRO algorithm. In order to validate the effective node localization performance of the MSRO-NLT algorithm, a set of simulations were performed to highlight the supremacy of the presented model. A detailed comparative results analysis showcased the betterment of the MSRO-NLT technique over the other compared methods in terms of different measures.

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Citations