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Fog Enabled Framework for Patient Health Monitoring Systems Using Internet of Things and Wireless Body Area Networks

EasyChair Preprint no. 8069

10 pagesDate: May 24, 2022

Abstract

WBANs (Wireless Body Area Networks) has a critical role in the automation of remote patient monitoring systems (via over the Internet) for large hospitals, po-tentially reducing paramedic staff responsibilities. These systems, on the other hand, create a large volume of sensed data, necessitating time-bounded services, dependability, data preparation, and effective communication technology. One of the acceptable choices to improve patient monitoring systems is the Internet of Things (IoTs) with the notion of Fog computing. In this context, this study fo-cuses on the needs of patient monitoring systems before proposing and imple-menting a hierarchical layer-based IoT architecture that incorporates WBANs, fog computing, and cloud services. In addition, the suggested architecture is tested using an embedded system and an open-source prototyping platform. Results are tracked, saved, and evaluated after testing. The findings demonstrate that by de-livering reliable communication, this architecture meets the stringent criteria of medical applications.

Keyphrases: Fog Computing, IoT, Patient Health Monitoring Systems, WBAN, wearable devices

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@Booklet{EasyChair:8069,
  author = {Ankush Kadu and Manwinder Singh},
  title = {Fog Enabled Framework for Patient Health Monitoring Systems Using Internet of Things and Wireless Body Area Networks},
  howpublished = {EasyChair Preprint no. 8069},

  year = {EasyChair, 2022}}
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