An IoT-LoRa System for Tracking a Patient with a Mental Disorder: Correlation between Battery Capacity and Speed of Movement

Aswin Tresna Nugraha, Rianto Wibowo, Muhammad Suryanegara, Nur Hayati

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

9 Citations (Scopus)

Abstract

This paper investigates the performance of battery capacity in the proposed IoT-LoRa device to track and monitor a patient with a mental disorder. Reduction of battery capacity was correlated against the movement speed of users. Three experimental scenarios were conducted for a patient moving at 1-3 km/h, 5-8 km/h, and 1-30 km/h. The real time data were taken from two multinode LoRa units at 10 different locational points with a time interval of 30 minutes. The experiment had 113 data iterations to determine percentage of battery capacity and RSSI level. It was found that the faster a patient is moving, the greater the capacity of the battery reduces.

Original languageEnglish
Title of host publicationProceedings of the 2018 7th International Conference on Computer and Communication Engineering, ICCCE 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages198-201
Number of pages4
ISBN (Electronic)9781538669914
DOIs
Publication statusPublished - 16 Nov 2018
Event7th International Conference on Computer and Communication Engineering, ICCCE 2018 - Kuala Lumpur, Malaysia
Duration: 19 Sep 201820 Sep 2018

Publication series

NameProceedings of the 2018 7th International Conference on Computer and Communication Engineering, ICCCE 2018

Conference

Conference7th International Conference on Computer and Communication Engineering, ICCCE 2018
CountryMalaysia
CityKuala Lumpur
Period19/09/1820/09/18

Keywords

  • Battery Capacity
  • IoT
  • LoRa®
  • Mental Disorder
  • Speed Measurement
  • Technology

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