WE-Safe: a wearable IoT sensor node for safety applications via LoRa

Fan Wu, Christoph Rudiger, Jean Michel Redoute, Mehmet Rasit Yuce

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearch

43 Citations (Scopus)


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.

Original languageEnglish
Title of host publicationIEEE World Forum on Internet of Things, WF-IoT 2018 - Proceedings
EditorsHausi A. Mueller, Yu Rongshan, Antonio Skarmeta
Place of PublicationPiscataway NJ USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Number of pages5
ISBN (Electronic)9781467399449
ISBN (Print)9781467399456
Publication statusPublished - 4 May 2018
EventIEEE World Forum on Internet of Things (WF-IoT) 2018 - Singapore, Singapore
Duration: 5 Feb 20188 Feb 2018
Conference number: 4th
https://ieeexplore.ieee.org/xpl/conhome/8353083/proceeding (Proceedings)


ConferenceIEEE World Forum on Internet of Things (WF-IoT) 2018
Abbreviated titleWF-IoT 2018
Internet address


  • environmental monitoring
  • Internet of Things
  • safety application
  • wearable sensor nodes
  • wireless sensor networks

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