Authors:
Gabriel Costa
1
;
Edvard Martins de Oliveira
1
and
Mário Henrique Souza Pardo
2
Affiliations:
1
Universidade Federal de Itajubá, Brazil
;
2
Faculdade de Tecnologia do Estado de São Paulo, Brazil
Keyword(s):
Internet of Things, eHealth, Network Overload, Load Balance, Computational Simulation.
Abstract:
As Internet of Thing (IoT) applications for eHealth gain momentum, one aspect becomes critical: the underlying network infrastructure. The efficient operation of interconnected devices hinges upon a robust and reliable network architecture, that can present formidable barriers to IoT’s potential. In this paper we analyze the capacity of a typical hospital network infrastructure to implement new eHealth solutions, given the number of devices required in a average setup. We use the IFogSim Simulator to model a network setup for a hospital, selecting parameters for the devices from state-of-the-art solutions. This work is an important investigation on the overload a collection of IoT devices may cause in a common network setup, and could be used for planning ahead the installation of eHealth solutions. Our results show that a realistic arrange for IoT solutions might impact significantly the network flow, energy consumption and processing time. Also, the number of gateways reflects on t
he working capacity of the general system, turning from a distribution point to a bottleneck. The environment provides a reliable representation, allowing the extrapolation of the scenarios.
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