Multi-Population Ensemble Particle Swarm Optimizer based Energy Efficient Clustering Algorithms for IOT Applications

SMART MOVES JOURNAL IJOSCIENCE

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Field Value
 
Title Multi-Population Ensemble Particle Swarm Optimizer based Energy Efficient Clustering Algorithms for IOT Applications
 
Creator Adlak, Roshnee
Meena, Pooja
 
Subject Internet of Things (IoT), Wireless Sensor Network, Optimization, Energy Efficiency.
 
Description With the growth of wireless sensor networks (WSN), new technologies like the Internet-of-Things (IoT) are being created. There may be challenges that come because when implementing these application areas in practice. The primary issue is energy utilization while data transmission between these resource restricted sensors. In this work, we present a cluster-based routing protocol for IoT to anticipate energy utilization. Furthermore, for cluster head selection and cluster updation, we presented a multi-population ensemble particle swarm optimizer. The simulation was carried out using the MATLAB platform and demonstrates its superiority over different approaches.
 
Publisher SMART MOVES
 
Date 2021-08-28
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
science
 
Format application/pdf
 
Identifier http://ijoscience.com/ojsscience/index.php/ojsscience/article/view/409
10.24113/ijoscience.v7i8.409
 
Source SMART MOVES JOURNAL IJOSCIENCE; Volume 7, Issue 8, August 2021; 81-85
2582-4600
 
Language eng
 
Relation http://ijoscience.com/ojsscience/index.php/ojsscience/article/view/409/931
 
Rights Copyright (c) 2021 Roshnee Adlak, Pooja Meena
http://creativecommons.org/licenses/by/4.0
 

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