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Erschienen in:
Hybrid Data Mining to Reduce False Positive and False Negative Prediction in Intrusion Detection System Kapitel lesen Erstes Kapitel lesen

2019 | OriginalPaper | Buchkapitel

SmartHealth Simulation Representing a Hybrid Architecture Over Cloud Integrated with IoT

A Modular Approach

verfasst von : Sarah Shafqat, Almas Abbasi, Tehmina Amjad, Hafiz Farooq Ahmad

Erschienen in: Advances in Information and Communication Networks

Verlag: Springer International Publishing

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Abstract

Every field is being evolved in a new direction with the technological advancement. In case of healthcare, the traditional system is being transferred over to cloud with integration of Internet of Things (IoT) inclusive of all the smart devices, wearable body sensors and mobile networks. This healthcare community cloud would be a beginning of context aware services being provided to patients at their home or at the place of medical incident. This context aware platform built over the cloud and IoT integrated infrastructure would save cost as well as time to reach to hospital and ensuring the availability of services by the qualified staff. In this paper, researchers would be simulating the healthcare community cloud that is context aware of the patients based on their current medical condition. This simulation model is compared to another previously simulated SelfServ Platform in combination with societal information system that used NetLogo.

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Vorheriges Kapitel Intelligent Time Series Forecasting Through Neighbourhood Search Heuristics
Nächstes Kapitel SDWM: Software Defined Wi-Fi Mobility for Smart IoT Carriers
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Metadaten
Titel
SmartHealth Simulation Representing a Hybrid Architecture Over Cloud Integrated with IoT
verfasst von
Sarah Shafqat
Almas Abbasi
Tehmina Amjad
Hafiz Farooq Ahmad
Copyright-Jahr
2019
Buch
Advances in Information and Communication Networks

Print ISBN: 978-3-030-03404-7

Electronic ISBN: 978-3-030-03405-4

Copyright-Jahr: 2019

DOI
https://doi.org/10.1007/978-3-030-03405-4_31

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