A medical-IoT based framework for eHealth care

Sandeep Pirbhulal, Wanqing Wu*, Subhas Chandra Mukhopadhyay, Guanglin Li

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

5 Citations (Scopus)

Abstract

Technological advancements in the medical domains have attracted industry and academia across the globe. Due to the incredible revolution in the wearable devices and communication techniques, it offers efficient and economical real-time health monitoring facilities. Internet of medical things (IoMT) is one of the convenient means to organize, monitor and manage the healthcare applications. Due to the tiny and resource-constrained nature of the medical devices in IoMT, it is very significant to cope-up with the huge energy drain issues. Thus, we propose an energy efficient ON-OFF algorithm (EEOOA) for medical data transmission between the source and destination nodes in medical systems. Moreover, in this study, IoMT based framework is also developed for eHealth care. Besides, the proposed algorithm is compared with the Baseline in terms of the energy saving. Experimental results reveal that proposed EEOOA is more energy efficient than the traditional approaches in IoMT.

Original languageEnglish
Title of host publication2018 International Symposium in Sensing and Instrumentation in IoT Era (ISSI)
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages1-4
Number of pages4
ISBN (Electronic)9781538656389
ISBN (Print)9781538656396
DOIs
Publication statusPublished - 2018
Event2018 International Symposium in Sensing and Instrumentation in IoT Era, ISSI 2018 - Shanghai, China
Duration: 6 Sep 20187 Sep 2018

Conference

Conference2018 International Symposium in Sensing and Instrumentation in IoT Era, ISSI 2018
CountryChina
CityShanghai
Period6/09/187/09/18

Keywords

  • IoMT
  • Medical Data
  • Efficiency
  • eHealth

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