Abstract
People spend more than 90% of their time indoor in Australia. Poor indoor air quality can cause severe health problems to individuals. It is necessary to develop a reliable and wearable systems for environmental monitoring. This chapter presents a low-power wearable sensor node for environmental Internet of Things (IoT) applications, forming wireless sensor network (WSN) based on XBee. Environmental data are monitored by the wearable sensor node and then transmitted to a remote cloud server via WSN. The data are displayed to authorized users through a web-based application located in cloud server. The experimental results indicate that the presented wearable sensor network system is able to monitor environmental conditions reliably.
Original language | English |
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Title of host publication | Advances in Body Area Networks I |
Subtitle of host publication | Post-Conference Proceedings of BodyNets 2017 |
Editors | Giancarlo Fortino, Zhelong Wang |
Place of Publication | Cham Switzerland |
Publisher | Springer |
Pages | 29-38 |
Number of pages | 10 |
ISBN (Electronic) | 9783030028190 |
ISBN (Print) | 9783030028183 |
DOIs | |
Publication status | Published - 2019 |
Event | International Conference on Body Area Networks 2017 - Dallian, China Duration: 28 Sep 2017 → 29 Sep 2017 Conference number: 12th http://bodynets.org/2017/show/home |
Publication series
Name | Internet of Things: Technology, Communications and Computing |
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Publisher | Springer |
ISSN (Print) | 2199-1073 |
ISSN (Electronic) | 2199-1081 |
Conference
Conference | International Conference on Body Area Networks 2017 |
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Abbreviated title | BODYNETS 2017 |
Country | China |
City | Dallian |
Period | 28/09/17 → 29/09/17 |
Internet address |
Cite this
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A wearable multi-sensor IoT network system for environmental monitoring. / Wu, Fan; Rüdiger, Christoph; Redouté, Jean-Michel; Rasit Yuce, Mehmet.
Advances in Body Area Networks I: Post-Conference Proceedings of BodyNets 2017. ed. / Giancarlo Fortino; Zhelong Wang. Cham Switzerland : Springer, 2019. p. 29-38 (Internet of Things: Technology, Communications and Computing).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
TY - GEN
T1 - A wearable multi-sensor IoT network system for environmental monitoring
AU - Wu, Fan
AU - Rüdiger, Christoph
AU - Redouté, Jean-Michel
AU - Rasit Yuce, Mehmet
PY - 2019
Y1 - 2019
N2 - People spend more than 90% of their time indoor in Australia. Poor indoor air quality can cause severe health problems to individuals. It is necessary to develop a reliable and wearable systems for environmental monitoring. This chapter presents a low-power wearable sensor node for environmental Internet of Things (IoT) applications, forming wireless sensor network (WSN) based on XBee. Environmental data are monitored by the wearable sensor node and then transmitted to a remote cloud server via WSN. The data are displayed to authorized users through a web-based application located in cloud server. The experimental results indicate that the presented wearable sensor network system is able to monitor environmental conditions reliably.
AB - People spend more than 90% of their time indoor in Australia. Poor indoor air quality can cause severe health problems to individuals. It is necessary to develop a reliable and wearable systems for environmental monitoring. This chapter presents a low-power wearable sensor node for environmental Internet of Things (IoT) applications, forming wireless sensor network (WSN) based on XBee. Environmental data are monitored by the wearable sensor node and then transmitted to a remote cloud server via WSN. The data are displayed to authorized users through a web-based application located in cloud server. The experimental results indicate that the presented wearable sensor network system is able to monitor environmental conditions reliably.
UR - http://www.scopus.com/inward/record.url?scp=85059507893&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-02819-0_3
DO - 10.1007/978-3-030-02819-0_3
M3 - Conference Paper
SN - 9783030028183
T3 - Internet of Things: Technology, Communications and Computing
SP - 29
EP - 38
BT - Advances in Body Area Networks I
A2 - Fortino, Giancarlo
A2 - Wang, Zhelong
PB - Springer
CY - Cham Switzerland
ER -