Energy Efficient Healthcare Monitoring System using 5G Task Offloading

Energy Efficient Healthcare Monitoring System using 5G Task Offloading

Authors

  • T Sigwele Department of Computing and Informatics, Faculty of Science, BIUST University, Private Bag 16, Palapye, Botswana
  • A Naveed Faculty of Engineering and Informatics, University of Bradford, BD7 1DP, United Kingdom
  • Misfa Susanto Department of Electrical Engineering, Faculty of Engineering, University of Lampung, Jl. Prof. Sumantri Brojonegoro No. 1, Bandar Lampung 35145, Indonesia
  • M Ali Faculty of Engineering and Informatics, University of Bradford, BD7 1DP, United Kingdom
  • Y F Hu Faculty of Engineering and Informatics, University of Bradford, BD7 1DP, United Kingdom

DOI:

https://doi.org/10.23960/jesr.v1i2.12

Keywords:

5G, Remote Healthcare Monitoring, Wireless Body Sensor Networks, Energy Efficiency, Mobile Edge Computing

Abstract

Healthcare expenses can be significantly reduced, and lives saved by enabling the continuous monitoring of patient health remotely using Wireless Body Sensor Networks (WBSN). However, an energy efficient mobile gateway (e.g. 5G smartphone) is required which moves with the patient in real time to process the data from the bio sensors without depleting the battery. This
paper proposes a 5G based healthcare cardiovascular disease Remote Monitoring system called 5GREM using Electrocardiogram (ECG) bio sensor as a BSN device. The aim is to monitor and analyse the patient’s heart rhythms and send emergency alerts during irregularities to the nearest caregivers, ambulance or physician to minimize heart attacks and heart failures while saving energy. Since ECG signal execution is computer intensive, requests from the ECG sensor are either executed locally on the
gateway, offloaded to nearby mobile devices or to the 5G edge while considering the battery level, CPU level, transmission power, delays and task fail rate.

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Published

2020-12-17

Issue

Section

Articles