Research Article
Energy efficient Technique for Cluster-head Selection in IoT Network
@ARTICLE{10.4108/eai.13-7-2018.163992, author={Vishwas D B and Gowtham M and Gururaj H L}, title={Energy efficient Technique for Cluster-head Selection in IoT Network}, journal={EAI Endorsed Transactions on Smart Cities}, volume={4}, number={11}, publisher={EAI}, journal_a={SC}, year={2020}, month={4}, keywords={WSN, IoT, CH selection, Lifetime, Energy efficient, Residual energy}, doi={10.4108/eai.13-7-2018.163992} }- Vishwas D B
Gowtham M
Gururaj H L
Year: 2020
Energy efficient Technique for Cluster-head Selection in IoT Network
SC
EAI
DOI: 10.4108/eai.13-7-2018.163992
Abstract
INTRODUCTION: Wireless sensor systems (WSN) clusters specific transducers that give detecting services to Internet of Things (IoT) devices with limited energy and capacity assets. Clustering calculation assumes a significant job in control preservation for the energy compelled organizes.
OBJECTIVES: Picking a cluster head can suitably adjust the load in the network in this way increasing strength utilization and improving lifetime. Since substitution or energizing of batteries nodes is very difficult, control utilization becomes one of the critical plan issues in WSN.
METHODS: The paper focus around an effective cluster head selection decision that rotates the cluster head position among the nodes with higher energy level when compared with other. The calculation thinks about beginning strength, unwanted energy and an ideal estimation of cluster heads to choose the following gathering of cluster sets out toward the system that suits for IoT applications, for example, ecological examination, smart city communities.
RESULTS: Reproduction examination shows the better altered version algorithm to anything the LEACH.
CONCLUSION: V-LEACH Clustering algorithm improves network lifetime, packet throughput and Average Residual energy compare to LEACH.
Copyright © 2020 Vishwas D B et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution license, which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.