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A Low Power Consumption Algorithm for Efficient Energy Consumption in ZigBee Motes
Wireless Sensor Networks (WSNs) are becoming increasingly popular since they can gather information from different locations without wires. This advantage is exploited in applications such as robotic systems, telecare, domotic or smart cities, among others. To gain independence from the electricity...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5677289/ https://www.ncbi.nlm.nih.gov/pubmed/28937660 http://dx.doi.org/10.3390/s17102179 |
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author | Vaquerizo-Hdez, Daniel Muñoz, Pablo R-Moreno, María D. F. Barrero, David |
author_facet | Vaquerizo-Hdez, Daniel Muñoz, Pablo R-Moreno, María D. F. Barrero, David |
author_sort | Vaquerizo-Hdez, Daniel |
collection | PubMed |
description | Wireless Sensor Networks (WSNs) are becoming increasingly popular since they can gather information from different locations without wires. This advantage is exploited in applications such as robotic systems, telecare, domotic or smart cities, among others. To gain independence from the electricity grid, WSNs devices are equipped with batteries, therefore their operational time is determined by the time that the batteries can power on the device. As a consequence, engineers must consider low energy consumption as a critical objective to design WSNs. Several approaches can be taken to make efficient use of energy in WSNs, for instance low-duty-cycling sensor networks (LDC-WSN). Based on the LDC-WSNs, we present LOKA, a LOw power Konsumption Algorithm to minimize WSNs energy consumption using different power modes in a sensor mote. The contribution of the work is a novel algorithm called LOKA that implements two duty-cycling mechanisms using the end-device of the ZigBee protocol (of the Application Support Sublayer) and an external microcontroller (Cortex M0+) in order to minimize the energy consumption of a delay tolerant networking. Experiments show that using LOKA, the energy required by the sensor device is reduced to half with respect to the same sensor device without using LOKA. |
format | Online Article Text |
id | pubmed-5677289 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-56772892017-11-17 A Low Power Consumption Algorithm for Efficient Energy Consumption in ZigBee Motes Vaquerizo-Hdez, Daniel Muñoz, Pablo R-Moreno, María D. F. Barrero, David Sensors (Basel) Article Wireless Sensor Networks (WSNs) are becoming increasingly popular since they can gather information from different locations without wires. This advantage is exploited in applications such as robotic systems, telecare, domotic or smart cities, among others. To gain independence from the electricity grid, WSNs devices are equipped with batteries, therefore their operational time is determined by the time that the batteries can power on the device. As a consequence, engineers must consider low energy consumption as a critical objective to design WSNs. Several approaches can be taken to make efficient use of energy in WSNs, for instance low-duty-cycling sensor networks (LDC-WSN). Based on the LDC-WSNs, we present LOKA, a LOw power Konsumption Algorithm to minimize WSNs energy consumption using different power modes in a sensor mote. The contribution of the work is a novel algorithm called LOKA that implements two duty-cycling mechanisms using the end-device of the ZigBee protocol (of the Application Support Sublayer) and an external microcontroller (Cortex M0+) in order to minimize the energy consumption of a delay tolerant networking. Experiments show that using LOKA, the energy required by the sensor device is reduced to half with respect to the same sensor device without using LOKA. MDPI 2017-09-22 /pmc/articles/PMC5677289/ /pubmed/28937660 http://dx.doi.org/10.3390/s17102179 Text en © 2017 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 Vaquerizo-Hdez, Daniel Muñoz, Pablo R-Moreno, María D. F. Barrero, David A Low Power Consumption Algorithm for Efficient Energy Consumption in ZigBee Motes |
title | A Low Power Consumption Algorithm for Efficient Energy Consumption in ZigBee Motes |
title_full | A Low Power Consumption Algorithm for Efficient Energy Consumption in ZigBee Motes |
title_fullStr | A Low Power Consumption Algorithm for Efficient Energy Consumption in ZigBee Motes |
title_full_unstemmed | A Low Power Consumption Algorithm for Efficient Energy Consumption in ZigBee Motes |
title_short | A Low Power Consumption Algorithm for Efficient Energy Consumption in ZigBee Motes |
title_sort | low power consumption algorithm for efficient energy consumption in zigbee motes |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5677289/ https://www.ncbi.nlm.nih.gov/pubmed/28937660 http://dx.doi.org/10.3390/s17102179 |
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