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Energy-Efficient Cluster Management Using a Mobile Charger for Solar-Powered Wireless Sensor Networks
In solar-powered wireless sensor networks (SP-WSNs), sensor nodes can continuously harvest energy to relieve the energy constraint problem in battery-powered WSNs. With the advent of wireless power transmission (WPT) technology, the nodes can be charged remotely if the energy harvested is insufficie...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7374328/ https://www.ncbi.nlm.nih.gov/pubmed/32629996 http://dx.doi.org/10.3390/s20133668 |
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author | Son, Youngjae Kang, Minjae Kim, Younghyun Yoon, Ikjune Noh, Dong Kun |
author_facet | Son, Youngjae Kang, Minjae Kim, Younghyun Yoon, Ikjune Noh, Dong Kun |
author_sort | Son, Youngjae |
collection | PubMed |
description | In solar-powered wireless sensor networks (SP-WSNs), sensor nodes can continuously harvest energy to relieve the energy constraint problem in battery-powered WSNs. With the advent of wireless power transmission (WPT) technology, the nodes can be charged remotely if the energy harvested is insufficient. However, even in SP-WSNs with WPT, an energy imbalance problem is observed, in which the energy consumption of the nodes around a sink node increases abnormally if the sink node is stationary. To solve this problem, recent studies have been conducted using a mobile sink node instead of a stationary one. Generally, a clustering scheme is used for the efficient utilization of a mobile sink. However, even in the case of mobile sinks, it is still necessary to minimize the energy burden of the cluster heads and their surrounding nodes. In this study, we propose a scheme that mitigates the energy imbalance problem of SP-WSNs by using a WPT-capable mobile sink and an efficient clustering scheme. In the proposed scheme, the energy imbalance is minimized by electing the cluster heads effectively after considering the energy state of the nodes, and by enabling the sink node to charge the energy of the cluster heads while collecting data from them. Consequently, this scheme allows the sink node to collect more data with fewer blackouts of the sensor nodes. |
format | Online Article Text |
id | pubmed-7374328 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-73743282020-08-06 Energy-Efficient Cluster Management Using a Mobile Charger for Solar-Powered Wireless Sensor Networks Son, Youngjae Kang, Minjae Kim, Younghyun Yoon, Ikjune Noh, Dong Kun Sensors (Basel) Article In solar-powered wireless sensor networks (SP-WSNs), sensor nodes can continuously harvest energy to relieve the energy constraint problem in battery-powered WSNs. With the advent of wireless power transmission (WPT) technology, the nodes can be charged remotely if the energy harvested is insufficient. However, even in SP-WSNs with WPT, an energy imbalance problem is observed, in which the energy consumption of the nodes around a sink node increases abnormally if the sink node is stationary. To solve this problem, recent studies have been conducted using a mobile sink node instead of a stationary one. Generally, a clustering scheme is used for the efficient utilization of a mobile sink. However, even in the case of mobile sinks, it is still necessary to minimize the energy burden of the cluster heads and their surrounding nodes. In this study, we propose a scheme that mitigates the energy imbalance problem of SP-WSNs by using a WPT-capable mobile sink and an efficient clustering scheme. In the proposed scheme, the energy imbalance is minimized by electing the cluster heads effectively after considering the energy state of the nodes, and by enabling the sink node to charge the energy of the cluster heads while collecting data from them. Consequently, this scheme allows the sink node to collect more data with fewer blackouts of the sensor nodes. MDPI 2020-06-30 /pmc/articles/PMC7374328/ /pubmed/32629996 http://dx.doi.org/10.3390/s20133668 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Son, Youngjae Kang, Minjae Kim, Younghyun Yoon, Ikjune Noh, Dong Kun Energy-Efficient Cluster Management Using a Mobile Charger for Solar-Powered Wireless Sensor Networks |
title | Energy-Efficient Cluster Management Using a Mobile Charger for Solar-Powered Wireless Sensor Networks |
title_full | Energy-Efficient Cluster Management Using a Mobile Charger for Solar-Powered Wireless Sensor Networks |
title_fullStr | Energy-Efficient Cluster Management Using a Mobile Charger for Solar-Powered Wireless Sensor Networks |
title_full_unstemmed | Energy-Efficient Cluster Management Using a Mobile Charger for Solar-Powered Wireless Sensor Networks |
title_short | Energy-Efficient Cluster Management Using a Mobile Charger for Solar-Powered Wireless Sensor Networks |
title_sort | energy-efficient cluster management using a mobile charger for solar-powered wireless sensor networks |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7374328/ https://www.ncbi.nlm.nih.gov/pubmed/32629996 http://dx.doi.org/10.3390/s20133668 |
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