Record Details

A Proposed IOT-based Smart Healthcare Management Framework for Performing Lossless Data Compression using Concept of Ontology

NOPR - NISCAIR Online Periodicals Repository

View Archive Info
 
 
Field Value
 
Title A Proposed IOT-based Smart Healthcare Management Framework for Performing Lossless Data Compression using Concept of Ontology
 
Creator Sahu, Mukesh
Panda, Jeebananda
 
Subject Compression factor
Compression percentage
Compression ratio
Internet of Things
Ontology
 
Description 282-291
The most efficient use of storage space is anticipated to be made possible by the adoption of one or more data
compression techniques, which are expected to increase transmission bandwidth. The majority of IoT-based devices may
store data on the cloud, which emphasizes the importance of making the best use of already-available storage. Due to these
and other factors, data reduction is a crucial topic for IoT vision research. The main idea of our proposed work is to develop
an IoT-based Smart healthcare management framework to achieve lossless data compression with the help of ontology. In
this proposed work, a framework is divided into three modules namely pre-processing, ontology, and compression module.
The sampling is done with the help of a healthcare analytics dataset taken from the Kaggle repository. The results are
evaluated using metrics affecting data compression. The results obtained showed that the average compression ratio and
average compression factor of the proposed work are 0.69 and 1.40 which is much better than existing recent works and
compression algorithms. Furthermore, the proposed framework achieves highest compression percentage (31%), lesser time
to compress original data (5.12 sec), highest peak signal to noise ratio value (91.18) and the lowest root mean squared error
value (0.7853) thereby validating the performance of the given IoT-based framework. It shows that the proposed approach is
better than existing compression techniques and recent review studies.
 
Date 2024-03-06T11:36:49Z
2024-03-06T11:36:49Z
2024-03
 
Type Article
 
Identifier 0022-4456 (Print); 0975-1084 (Online)
http://nopr.niscpr.res.in/handle/123456789/63542
https://doi.org/10.56042/jsir.v83i3.6153
 
Language en
 
Publisher NIScPR-CSIR, India
 
Source JSIR Vol.83(3) [March 2024]