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Exploiting Smart E-Health Gateways At the Edge of Healthcare Internet-of-Things: A Fog Computing Approach

Amir-Mohammad Rahmani, Tuan Nguyen Gia, Behailu Negash, Arman Anzanpour, Iman Azimi, Mingzhe Jiang Jiang, Pasi Liljeberg, Exploiting Smart E-Health Gateways At the Edge of Healthcare Internet-of-Things: A Fog Computing Approach. Future Generation Computer Systems: The International Journal of Grid Computing: Theory Methods and Applications , 1–18, 2017.

http://dx.doi.org/10.1016/j.future.2017.02.014

Abstract:

Current developments in ICTs such as in Internet-of-Things (IoT) and Cyber–Physical Systems (CPS)
allow us to develop healthcare solutions with more intelligent and prediction capabilities both for daily
life (home/office) and in-hospitals. In most of IoT-based healthcare systems, especially at smart homes
or hospitals, a bridging point (i.e., gateway) is needed between sensor infrastructure network and the
Internet. The gateway at the edge of the network often just performs basic functions such as translating
between the protocols used in the Internet and sensor networks. These gateways have beneficial knowledge
and constructive control over both the sensor network and the data to be transmitted through the
Internet. In this paper, we exploit the strategic position of such gateways at the edge of the network to
offer several higher-level services such as local storage, real-time local data processing, embedded data
mining, etc., presenting thus a Smart e-Health Gateway. We then propose to exploit the concept of Fog
Computing in Healthcare IoT systems by forming a Geo-distributed intermediary layer of intelligence
between sensor nodes and Cloud. By taking responsibility for handling some burdens of the sensor
network and a remote healthcare center, our Fog-assisted system architecture can cope with many
challenges in ubiquitous healthcare systems such as mobility, energy efficiency, scalability, and reliability
issues. A successful implementation of Smart e-Health Gateways can enable massive deployment of
ubiquitous health monitoring systems especially in clinical environments. We also present a prototype
of a Smart e-Health Gateway called UT-GATE where some of the discussed higher-level features have
been implemented. We also implement an IoT-based Early Warning Score (EWS) health monitoring to
practically show the efficiency and relevance of our system on addressing a medical case study. Our proof of-
concept design demonstrates an IoT-based health monitoring system with enhanced overall system
intelligence, energy efficiency, mobility, performance, interoperability, security, and reliability.

BibTeX entry:

@ARTICLE{jRaNgNeAnAzJiLi17a,
  title = {Exploiting Smart E-Health Gateways At the Edge of Healthcare Internet-of-Things: A Fog Computing Approach},
  author = {Rahmani, Amir-Mohammad and Nguyen Gia, Tuan and Negash, Behailu and Anzanpour, Arman and Azimi, Iman and Jiang, Mingzhe Jiang and Liljeberg, Pasi},
  journal = {Future Generation Computer Systems: The International Journal of Grid Computing: Theory Methods and Applications},
  publisher = {Elsevier},
  pages = {1–18},
  year = {2017},
  ISSN = {0167-739X},
}

Belongs to TUCS Research Unit(s): Embedded Computer and Electronic Systems (ECES)

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