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Real-Time Performance of a Self-Powered Environmental IoT Sensor Network System
Wireless sensor networks (WSNs) play an increasingly important role in monitoring applications in many areas. With the emergence of the Internet-of-Things (IoT), many more low-power sensors will need to be deployed in various environments to collect and monitor data about environmental factors in re...
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/PMC5336020/ https://www.ncbi.nlm.nih.gov/pubmed/28157148 http://dx.doi.org/10.3390/s17020282 |
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author | Wu, Fan Rüdiger, Christoph Yuce, Mehmet Rasit |
author_facet | Wu, Fan Rüdiger, Christoph Yuce, Mehmet Rasit |
author_sort | Wu, Fan |
collection | PubMed |
description | Wireless sensor networks (WSNs) play an increasingly important role in monitoring applications in many areas. With the emergence of the Internet-of-Things (IoT), many more low-power sensors will need to be deployed in various environments to collect and monitor data about environmental factors in real time. Providing power supply to these sensor nodes becomes a critical challenge for realizations of IoT applications as sensor nodes are normally battery-powered and have a limited lifetime. This paper proposes a wireless sensor network that is powered by solar energy harvesting. The sensor network monitors the environmental data with low-power sensor electronics and forms a network using multiple XBee wireless modules. A detailed performance analysis of the network system under solar energy harvesting has been presented. The sensor network system and the proposed energy-harvesting techniques are configured to achieve a continuous energy source for the sensor network. The proposed energy-harvesting system has been successfully designed to enable an energy solution in order to keep sensor nodes active and reliable for a whole day. The paper also outlines some of our experiences in real-time implementation of a sensor network system with energy harvesting. |
format | Online Article Text |
id | pubmed-5336020 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-53360202017-03-16 Real-Time Performance of a Self-Powered Environmental IoT Sensor Network System Wu, Fan Rüdiger, Christoph Yuce, Mehmet Rasit Sensors (Basel) Article Wireless sensor networks (WSNs) play an increasingly important role in monitoring applications in many areas. With the emergence of the Internet-of-Things (IoT), many more low-power sensors will need to be deployed in various environments to collect and monitor data about environmental factors in real time. Providing power supply to these sensor nodes becomes a critical challenge for realizations of IoT applications as sensor nodes are normally battery-powered and have a limited lifetime. This paper proposes a wireless sensor network that is powered by solar energy harvesting. The sensor network monitors the environmental data with low-power sensor electronics and forms a network using multiple XBee wireless modules. A detailed performance analysis of the network system under solar energy harvesting has been presented. The sensor network system and the proposed energy-harvesting techniques are configured to achieve a continuous energy source for the sensor network. The proposed energy-harvesting system has been successfully designed to enable an energy solution in order to keep sensor nodes active and reliable for a whole day. The paper also outlines some of our experiences in real-time implementation of a sensor network system with energy harvesting. MDPI 2017-02-01 /pmc/articles/PMC5336020/ /pubmed/28157148 http://dx.doi.org/10.3390/s17020282 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 Wu, Fan Rüdiger, Christoph Yuce, Mehmet Rasit Real-Time Performance of a Self-Powered Environmental IoT Sensor Network System |
title | Real-Time Performance of a Self-Powered Environmental IoT Sensor Network System |
title_full | Real-Time Performance of a Self-Powered Environmental IoT Sensor Network System |
title_fullStr | Real-Time Performance of a Self-Powered Environmental IoT Sensor Network System |
title_full_unstemmed | Real-Time Performance of a Self-Powered Environmental IoT Sensor Network System |
title_short | Real-Time Performance of a Self-Powered Environmental IoT Sensor Network System |
title_sort | real-time performance of a self-powered environmental iot sensor network system |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5336020/ https://www.ncbi.nlm.nih.gov/pubmed/28157148 http://dx.doi.org/10.3390/s17020282 |
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