Reference : WE-Safe: A wearable IoT sensor node for safety applications via LoRa
Scientific congresses and symposiums : Paper published in a book
Engineering, computing & technology : Electrical & electronics engineering
http://hdl.handle.net/2268/232554
WE-Safe: A wearable IoT sensor node for safety applications via LoRa
English
Wu, F. [Department of Electrical and Computer Systems Engineering, Monash University, Melbourne, VIC, Australia]
Rudiger, C. [Department of Civil Engineering, Monash University, Melbourne, VIC, Australia]
Redouté, Jean-Michel mailto [Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes microélectroniques intégrés >]
Yuce, M. R. [Department of Electrical and Computer Systems Engineering, Monash University, Melbourne, VIC, Australia]
2018
IEEE World Forum on Internet of Things, WF-IoT 2018 - Proceedings
Institute of Electrical and Electronics Engineers Inc.
144-148
Yes
International
4th IEEE World Forum on Internet of Things, WF-IoT 2018
5 February 2018 through 8 February 2018
[en] Internet of Things ; Carbon dioxide ; Carbon monoxide ; Cloud computing ; Environmental technology ; Gateways (computer networks) ; Internet of things ; Low power electronics ; Sensor nodes ; Wireless sensor networks ; Wireless telecommunication systems ; Environmental conditions ; Environmental Monitoring ; Environmental parameter ; Internet of Things (IOT) ; Low-power consumption ; Safety applications ; Web-based applications ; Wireless technologies ; Wearable sensors
[en] This paper presents a wearable Internet of Things (IoT) sensor node aimed at monitoring harmful environmental conditions for safety applications via LoRa wireless technology. The proposed sensor node is low-power and supports multiple environmental sensors. A LoRa based gateway is used to connect sensors to the Internet. We mainly focus on monitoring carbon monoxide, carbon dioxide, ultraviolet, and some general environmental parameters. Poor environment quality could cause severe health problems to individuals. Therefore, surrounding environmental data is gathered by the wearable node in a real-time manner and then transmitted to a remote cloud server. The data can then be displayed to authorized users through a web-based application located in the cloud server and the device will give alert to the user via mobile application when an emergency condition occurs. The experimental results indicate that our safety monitoring network can work reliably with low power consumption. © 2018 IEEE.
Credits;Darkmatter;et al.;Fuzhou IoT Lab;Nanyang Technological University, School of Electrical and Electronic Engineering;Rohde and Schwarz
http://hdl.handle.net/2268/232554
10.1109/WF-IoT.2018.8355234
136296
9781467399449

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