Evaluation of IoT-based distributed health management systems

Konstantinos Karamitsios, Theofanis Orphanoudakis, Tasos Dagiuklas

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

3 Citations (Scopus)

Abstract

Internet of Things (IoT) technologies provide many opportunities for healthcare application provisioning such as home-based assisted living and well-being application solutions. Nowadays, numerous IoT devices are used to monitor users healthcare status and transmit the data directly to remote data centers through the cloud computing paradigm this paper we evaluate the performance of protocol stacks that have been proposed for the transportation of healthcare monitoring data over the user access network towards a healthcare provider supporting the connected health model. The applications we focus on run on top of networking stacks designed for IoT environments that are typically used in the distributed health management model where multiple embedded sensing devices communicate with health monitoring applications over a networking infrastructure. The applications we evaluate are based on the IEEE 11073 standard designed to support interoperable healthcare monitoring applications and the networking infrastructure employs either the generic TCP/IP or the specifically designed for constrained environments (e.g. IoTs) CoAP/UDP protocol stacks.

Original languageEnglish
Title of host publicationPCI 2016 - 20th Pan-Hellenic Conference on Informatics
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450347891
DOIs
Publication statusPublished - 10 Nov 2016
Event20th Pan-Hellenic Conference on Informatics, PCI 2016 - Patra, Greece
Duration: 10 Nov 201612 Nov 2016

Publication series

NameACM International Conference Proceeding Series

Conference

Conference20th Pan-Hellenic Conference on Informatics, PCI 2016
Country/TerritoryGreece
CityPatra
Period10/11/1612/11/16

Bibliographical note

Publisher Copyright:
Copyright 2016 ACM.

Keywords

  • CoAP
  • Connected health
  • IEEE 11073
  • Internet of things

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