Improving the Network Lifetime in Wireless Sensor Network for Internet of Thing Applications

Mobile Wireless sensor networks have acquired a great interest recently due to their capability to provide good solutions and low-priced in multiple fields. Internet of Things (IoT) connects different technologies such as sensing, communication, networking, and cloud computing. It can be used in mo...

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Autores principales:	Ahmed A. Salman, Zainab T. Alisa
Formato:	article
Lenguaje:	EN
Publicado:	Al-Khwarizmi College of Engineering – University of Baghdad 2019
Materias:	Chemical engineering TP155-156 Engineering (General). Civil engineering (General) TA1-2040
Acceso en línea:	https://doaj.org/article/beb12487a7a744a48c64ea26f314001d
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spelling	oai:doaj.org-article:beb12487a7a744a48c64ea26f314001d2021-12-02T05:22:17ZImproving the Network Lifetime in Wireless Sensor Network for Internet of Thing Applications10.22153/kej.2019.09.0071818-11712312-0789https://doaj.org/article/beb12487a7a744a48c64ea26f314001d2019-12-01T00:00:00Zhttp://alkej.uobaghdad.edu.iq/index.php/alkej/article/view/576https://doaj.org/toc/1818-1171https://doaj.org/toc/2312-0789 Mobile Wireless sensor networks have acquired a great interest recently due to their capability to provide good solutions and low-priced in multiple fields. Internet of Things (IoT) connects different technologies such as sensing, communication, networking, and cloud computing. It can be used in monitoring, health care and smart cities. The most suitable infrastructure for IoT application is wireless sensor networks. One of the main defiance of WSNs is the power limitation of the sensor node. Clustering model is an actual way to eliminate the inspired power during the transmission of the sensed data to a central point called a Base Station (BS). In this paper, efficient clustering protocols are offered to prolong network lifetime. A kernel-based fuzzy C-means clustering algorithm (KFCM) is adopted to cluster sensor nodes, while a cluster head (CH) is selected for each cluster based on a fuzzy logic system. Results depicts that the new work performs better than the existing algorithms (as Low Energy Adaptive Cluster Hierarchy-Mobile (LEACH-M) and Low Energy Adaptive Cluster Hierarchy-Mobile Enhancement (LEACH-ME)) in terms of network lifetime, energy consumption, packet transmission and stability period. Ahmed A. SalmanZainab T. AlisaAl-Khwarizmi College of Engineering – University of BaghdadarticleChemical engineeringTP155-156Engineering (General). Civil engineering (General)TA1-2040ENAl-Khawarizmi Engineering Journal, Vol 15, Iss 4 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	Chemical engineering TP155-156 Engineering (General). Civil engineering (General) TA1-2040
spellingShingle	Chemical engineering TP155-156 Engineering (General). Civil engineering (General) TA1-2040 Ahmed A. Salman Zainab T. Alisa Improving the Network Lifetime in Wireless Sensor Network for Internet of Thing Applications
description	Mobile Wireless sensor networks have acquired a great interest recently due to their capability to provide good solutions and low-priced in multiple fields. Internet of Things (IoT) connects different technologies such as sensing, communication, networking, and cloud computing. It can be used in monitoring, health care and smart cities. The most suitable infrastructure for IoT application is wireless sensor networks. One of the main defiance of WSNs is the power limitation of the sensor node. Clustering model is an actual way to eliminate the inspired power during the transmission of the sensed data to a central point called a Base Station (BS). In this paper, efficient clustering protocols are offered to prolong network lifetime. A kernel-based fuzzy C-means clustering algorithm (KFCM) is adopted to cluster sensor nodes, while a cluster head (CH) is selected for each cluster based on a fuzzy logic system. Results depicts that the new work performs better than the existing algorithms (as Low Energy Adaptive Cluster Hierarchy-Mobile (LEACH-M) and Low Energy Adaptive Cluster Hierarchy-Mobile Enhancement (LEACH-ME)) in terms of network lifetime, energy consumption, packet transmission and stability period.
format	article
author	Ahmed A. Salman Zainab T. Alisa
author_facet	Ahmed A. Salman Zainab T. Alisa
author_sort	Ahmed A. Salman
title	Improving the Network Lifetime in Wireless Sensor Network for Internet of Thing Applications
title_short	Improving the Network Lifetime in Wireless Sensor Network for Internet of Thing Applications
title_full	Improving the Network Lifetime in Wireless Sensor Network for Internet of Thing Applications
title_fullStr	Improving the Network Lifetime in Wireless Sensor Network for Internet of Thing Applications
title_full_unstemmed	Improving the Network Lifetime in Wireless Sensor Network for Internet of Thing Applications
title_sort	improving the network lifetime in wireless sensor network for internet of thing applications
publisher	Al-Khwarizmi College of Engineering – University of Baghdad
publishDate	2019
url	https://doaj.org/article/beb12487a7a744a48c64ea26f314001d
work_keys_str_mv	AT ahmedasalman improvingthenetworklifetimeinwirelesssensornetworkforinternetofthingapplications AT zainabtalisa improvingthenetworklifetimeinwirelesssensornetworkforinternetofthingapplications
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Improving the Network Lifetime in Wireless Sensor Network for Internet of Thing Applications

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