The IoT LoRa system design for tracking and monitoring patient with mental disorder

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

44 Citations (Scopus)

Abstract

This paper aims to propose a system design, working on the basis of the Internet of Things (IoT) LoRa, for tracking and monitoring the patient with mental disorder. The system consists of a LoRa client, which is a tracking device on end devices installed on the patient, and LoRa gateways, installed in hospitals and other public locations. The LoRa gateways are connected to local servers and cloud servers by utilizing both mobile cellular and Wi-Fi networks as the communications media. The feasibility of the system design is developed by employing the results of our previous work on LoRa performance in the Line of Sight (LoS) and Non-Line of Sight (Non-LoS) environments. Discussions are presented concerning the LoRa network performance, battery power and scalability. The future work is to build the proposed the design in a real system scenarios.

Original languageEnglish
Title of host publication2017 IEEE International Conference on Communication, Networks and Satellite, COMNETSAT 2017 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages135-139
Number of pages5
ISBN (Electronic)9781538606520
DOIs
Publication statusPublished - 18 Jan 2018
Event6th IEEE International Conference on Communication, Networks and Satellite, COMNETSAT 2017 - Semarang, Indonesia
Duration: 5 Oct 20177 Oct 2017

Publication series

Name2017 IEEE International Conference on Communication, Networks and Satellite, COMNETSAT 2017 - Proceedings
Volume2018-January

Conference

Conference6th IEEE International Conference on Communication, Networks and Satellite, COMNETSAT 2017
Country/TerritoryIndonesia
CitySemarang
Period5/10/177/10/17

Keywords

  • IoT
  • LoRa technology
  • Mental disorder
  • Telemedicine
  • Tracking system

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