Optimization of Leach Protocol in Wireless Sensor Network Using Machine Learning.
Journal
Computational intelligence and neuroscience
ISSN: 1687-5273
Titre abrégé: Comput Intell Neurosci
Pays: United States
ID NLM: 101279357
Informations de publication
Date de publication:
2022
2022
Historique:
received:
15
05
2022
revised:
24
06
2022
accepted:
04
07
2022
entrez:
23
8
2022
pubmed:
24
8
2022
medline:
25
8
2022
Statut:
epublish
Résumé
The Wireless Sensor Network is a network formed in areas human beings cannot access. The data need to be sensed by the sensor and transferred to the sink node. Many routing protocols are designed to route data from a single node to the sink node. One of the routing protocols is the hierarchical routing protocol, which passes on the sensed data hierarchically. The Low Energy Adaptive Clustering Hierarchy (LEACH) is one of the hierarchical methods in which communication happens in two steps: the setup phase and the steady-state phase. The efficiency of the LEACH has to be optimized to improve the network lifetime. Therefore, the
Identifiants
pubmed: 35996654
doi: 10.1155/2022/5393251
pmc: PMC9392616
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
5393251Informations de copyright
Copyright © 2022 S. Ramesh et al.
Déclaration de conflit d'intérêts
The authors declare that there are no conflicts of interest regarding the publication of this paper.
Références
Environ Res. 2022 Apr 1;205:112574
pubmed: 34919959
Comput Intell Neurosci. 2022 Apr 18;2022:6461690
pubmed: 35479598