Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Wu, Fan, Rüdiger, Christoph, Yuce, Mehmet Rasit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
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
_version_ 1782512143631908864
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
work_keys_str_mv AT wufan realtimeperformanceofaselfpoweredenvironmentaliotsensornetworksystem
AT rudigerchristoph realtimeperformanceofaselfpoweredenvironmentaliotsensornetworksystem
AT yucemehmetrasit realtimeperformanceofaselfpoweredenvironmentaliotsensornetworksystem