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Leveraging Fog Computing for Healthcare IoT

Behailu Negash, Tuan Nguyen Gia, Arman Anzanpour, Iman Azimi, Mingzhe Jiang Jiang, Tomi Westerlund, Amir-Mohammad Rahmani, Pasi Liljeberg, Hannu Tenhunen, Leveraging Fog Computing for Healthcare IoT. In: Amir M. Rahmani, Pasi Liljeberg, Jürgo-Sören Preden, Axel Jantsch (Eds.), Fog Computing in the Internet of Things, 145–169, Springer, 2017.

Abstract:

Developments in technology have shifted the focus of medical practice from treating a disease to prevention. Currently, a significant enhancement in healthcare is expected to be achieved through the Internet of Things (IoT). There are various wearable IoT devices that track physiological signs and signals in the market already. These devices usually connect to the Internet directly or through a local smart phone or a gateway. Home-based and in hospital patients can be continuously monitored with wearable and implantable sensors and actuators. In most cases, these sensors and actuators are resource constrained to perform computing and operate for longer periods. The use of traditional gateways to connect to the Internet provides only connectivity and limited network services. With the introduction of the Fog computing layer, closer to the sensor network, data analytics and adaptive services can be realized in remote healthcare monitoring. This chapter focuses on a smart e-health gateway implementation for use in the Fog computing layer, connecting a network of such gateways, both in home and in hospital use. To show the application of the services, simple healthcare scenarios are presented. The features of the gateway in our Fog implementation are discussed and evaluated

BibTeX entry:

@INBOOK{cNeNgAnAzJiWeRaLiTe17a,
  title = {Leveraging Fog Computing for Healthcare IoT},
  booktitle = {Fog Computing in the Internet of Things},
  author = {Negash, Behailu and Nguyen Gia, Tuan and Anzanpour, Arman and Azimi, Iman and Jiang, Mingzhe Jiang and Westerlund, Tomi and Rahmani, Amir-Mohammad and Liljeberg, Pasi and Tenhunen, Hannu},
  editor = {Rahmani, Amir M. and Liljeberg, Pasi and Preden, Jürgo-Sören and Jantsch, Axel},
  publisher = {Springer},
  pages = {145–169},
  year = {2017},
  ISSN = {978-3-211 ; 978-3-7091 ; 978-3},
}

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

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