• TUCS Publication Series
• How to Publish in TUCS Series
• Publication Search
• Publication Graph
• Publication Input
• Publication Input Guide
• JuFo Browser

Fog Computing in Body Sensor Networks: An Energy Efficient Approach

Tuan Nguyen Gia, Mingzhe Jiang, Amir-Mohammad Rahmani, Tomi Westerlund, Kunal Mankodiya, Pasi Liljeberg, Hannu Tenhunen, Fog Computing in Body Sensor Networks: An Energy Efficient Approach . In: Jeffrey Palmer (Ed.), Computing in Body Sensor Networks: An Energy Efficient Approach , pp. 1–6, IEEE, 2015.

Abstract:

Internet of Things based systems provides a viable
and organized approach to improve health and wellbeing of
mankind. Particularly, health monitoring systems based on wireless
body sensor networks become attainable due to increasing
number of elderly people that needs healthcare services frequently.
In such system, power consumption of a sensor node is
an important issue. In order to handle the issue, a smart gateway
with fog computing capabilities is presented. Fog computing includes
several services such as distributed database management,
Electrocardiography (ECG) feature extraction, user graphical
interface with access management and push notations. With fog
computing, the burden of a cloud server can be reduced and
more than 50% of power consumption can be saved at a sensor
node. Additionally, through fog computing, the system ensures
that the obtained health data can be visualized and diagnosed
in real-time even though there is a disconnection between the
gateway and cloud server.

BibTeX entry:

@INPROCEEDINGS{inpNgJiRaWeMaLiTe15a,
  title = { Fog Computing in Body Sensor Networks: An Energy Efficient Approach },
  booktitle = { Computing in Body Sensor Networks: An Energy Efficient Approach },
  author = {Nguyen Gia, Tuan and Jiang, Mingzhe and Rahmani, Amir-Mohammad and Westerlund, Tomi and Mankodiya, Kunal and Liljeberg, Pasi and Tenhunen, Hannu},
  editor = {Palmer, Jeffrey},
  publisher = {IEEE},
  pages = {pp. 1–6},
  year = {2015},
}

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

Edit publication