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ARTICLE
RSS-Based Selective Clustering Technique Using Master Node for WSN
1GLA University, Mathura, India
2 DPSM IIIT, Naya Raipur, India
3 Compucom Institute of Technology & Management, Jaipur, India
4 Lakshmi Narain College of Technology, Bhopal, India
5 Vellore Institute of Technology, Vellore, 632014, India
6 Industrial Engineering Department, College of Engineering, King Saud University, Riyadh, 11421, Saudi Arabia
7 Raytheon Chair for Systems Engineering, Advanced Manufacturing Institute, King Saud University, Riyadh, 11421, Saudi Arabia
* Corresponding Author: Mustufa Haider Abidi. Email:
(This article belongs to the Special Issue: Green IoT Networks using Machine Learning, Deep Learning Models)
Computers, Materials & Continua 2021, 69(3), 3917-3930. https://doi.org/10.32604/cmc.2021.015826
Received 09 December 2020; Accepted 17 February 2021; Issue published 24 August 2021
Abstract
Wireless sensor networks (WSN) are designed to monitor the physical properties of the target area. The received signal strength (RSS) plays a significant role in reducing sensor node power consumption during data transmission. Proper utilization of RSS values with clustering is required to harvest the energy of each network node to prolong the network life span. This paper introduces the RSS-based energy-efficient selective clustering technique using a master node (RESCM) to improve energy utilization using a master node. The master node positioned at the center of the network area and base station (BS) is placed outside the network area. During cluster head (CH) selection, the node with a high RSS value is more likely to become CH. The network is divided into segments according to the distance from the master node. All nodes near BS or master node transmit their data using direct transmission without the clustering process. The simulation results showed that the RESCM method improves the total network lifespan effectively.Keywords
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