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The Journal of Supercomputing
Published in: The Journal of Supercomputing 9/2020

07-12-2019

Real-time event-driven sensor data analytics at the edge-Internet of Things for smart personal healthcare

Authors: Partha Pratim Ray, Dinesh Dash, Debashis De

Published in: The Journal of Supercomputing | Issue 9/2020

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Abstract

Real-time service has become a key for efficient serving of the Internet of Things (IoT)-based smart e-Healthcare. Several orientations have tried to pave this side of the technology but severely lacked in terms of incorporations of lightweight and open IoT-based frameworks. This study presents two different experiments that deals with the real-time visualization, charting and analytics while using real-time and open java script frameworks that includes Node.js, Johnny-Five, SperialPort, PubNub client, EON.js, Chart.js, Express Server and Socket.io. The objective of this work is to investigate the IoT-based real-time analytics behavior in cost-effective e-health sensor deployment scenario. The results found from the study advocates for the growth and assimilation of IoT-based open-source java script frameworks for serving real-time sensor data analytics in e-Healthcare sector.
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Metadata
Title
Real-time event-driven sensor data analytics at the edge-Internet of Things for smart personal healthcare
Authors
Partha Pratim Ray
Dinesh Dash
Debashis De
Publication date
07-12-2019
Publisher
Springer US
Published in
The Journal of Supercomputing / Issue 9/2020
Print ISSN: 0920-8542
Electronic ISSN: 1573-0484
DOI
https://doi.org/10.1007/s11227-019-03089-w

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