Open Access iconOpen Access

ARTICLE

crossmark

RSS-Based Selective Clustering Technique Using Master Node for WSN

Vikram Rajpoot1, Vivek Tiwari2, Akash Saxena3, Prashant Chaturvedi4, Dharmendra Singh Rajput5, Mohammed Alkahtani6,7, Mustufa Haider Abidi7,*

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: 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

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


Cite This Article

APA Style
Rajpoot, V., Tiwari, V., Saxena, A., Chaturvedi, P., Rajput, D.S. et al. (2021). Rss-based selective clustering technique using master node for WSN. Computers, Materials & Continua, 69(3), 3917-3930. https://doi.org/10.32604/cmc.2021.015826
Vancouver Style
Rajpoot V, Tiwari V, Saxena A, Chaturvedi P, Rajput DS, Alkahtani M, et al. Rss-based selective clustering technique using master node for WSN. Comput Mater Contin. 2021;69(3):3917-3930 https://doi.org/10.32604/cmc.2021.015826
IEEE Style
V. Rajpoot et al., “RSS-Based Selective Clustering Technique Using Master Node for WSN,” Comput. Mater. Contin., vol. 69, no. 3, pp. 3917-3930, 2021. https://doi.org/10.32604/cmc.2021.015826



cc Copyright © 2021 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
  • 2171

    View

  • 1162

    Download

  • 0

    Like

Share Link