Reference : WE-safe: A self-powered wearable IoT sensor network for safety applications based on lora
Scientific journals : Article
Engineering, computing & technology : Electrical & electronics engineering
http://hdl.handle.net/2268/232551
WE-safe: A self-powered wearable IoT sensor network for safety applications based on lora
English
Wu, F. [Department of Electrical and Computer Systems Engineering, Monash University, Melbourne, VIC 3800, 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 3800, Australia]
2018
IEEE Access
Institute of Electrical and Electronics Engineers Inc.
6
40846-40853
Yes (verified by ORBi)
International
21693536
[en] Energy harvesting ; Environmental monitoring ; Internet of Things ; LoRa-based sensor node ; Safety application ; Wearable sensor network ; Cloud computing ; Internet of things ; Monitoring ; Sensor networks ; Sensor nodes ; Emergency conditions ; Environmental conditions ; Environmental Monitoring ; Environmental sensor ; Hazardous environment ; Internet of Things (IOT) ; Safety applications ; Web-based applications ; Wearable sensors
[en] Poor environmental conditions can lead to severe health problems. It is essential to develop effective, reliable, and fast response systems for people working in hazardous environments. This paper presents a wearable Internet of Things sensor network aimed at monitoring harmful environmental conditions for safety applications via a Lora wireless network. The proposed sensor node, called the WE-Safe node, is based on a customized sensor node, which is self-powered, low-power, and supports multiple environmental sensors. Environmental data is monitored by the sensor node in real-time and transmitted to a remote cloud server. The data can be displayed to users through a web-based application located on the cloud server and the device will alert the user via a mobile application when an emergency condition is detected. The experimental results indicate that the presented safety monitoring network works reliably using energy harvesting. © 2013 IEEE.
FT130100430
http://hdl.handle.net/2268/232551
10.1109/ACCESS.2018.2859383

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