WE-safe: A self-powered wearable IoT sensor network for safety applications based on lora

Energy harvesting; Environmental monitoring; Internet of Things; LoRa-based sensor node; Safety application; Wearable sensor network; Cloud computing; Monitoring; Sensor networks; Sensor nodes; Emergency conditions; Environmental conditions; Environmental sensor; Hazardous environment; Internet of Things (IOT); Safety applications; Web-based applications; Wearable sensors

Abstract :

[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.

Disciplines :

Electrical & electronics engineering

Author, co-author :

Wu, F.; Department of Electrical and Computer Systems Engineering, Monash University, Melbourne, VIC 3800, Australia

Redouté, Jean-Michel ; 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

Language :

English

Title :

WE-safe: A self-powered wearable IoT sensor network for safety applications based on lora

Publication date :

2018

Journal title :

IEEE Access

ISSN :

2169-3536

Publisher :

Institute of Electrical and Electronics Engineers Inc.

Volume :

Pages :

40846-40853

Peer reviewed :

Peer Reviewed verified by ORBi

Funders :

ARC - Australian Research Council

Funding text :

This work was supported by the Monash University's Faculty of Engineering Seed Funding. The work of M. R. Yuce was supported by the Australian Research Council Future Fellowships under Grant FT130100430

Available on ORBi :

since 04 February 2019

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