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Resource discovery in high-volume internet of things: Systematic research

Currently, several issues in Internet of Things (IoT) resource discovery is still being analyzed and verified. This paper offers a comparison with systematic literature and solution perspective on the resources discovery issues in the high-volume IoT environment. The purpose is to recommend a cl...

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Main Authors: Azrul Amri, Jamal, Elissa Nadia, Madi
Format: Article
Language:English
Published: 2019
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://eprints.unisza.edu.my/6759/1/FH02-FIK-20-48589.pdf
http://eprints.unisza.edu.my/6759/
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spelling my-unisza-ir.67592022-05-10T08:03:43Z http://eprints.unisza.edu.my/6759/ Resource discovery in high-volume internet of things: Systematic research Azrul Amri, Jamal Elissa Nadia, Madi QA75 Electronic computers. Computer science Currently, several issues in Internet of Things (IoT) resource discovery is still being analyzed and verified. This paper offers a comparison with systematic literature and solution perspective on the resources discovery issues in the high-volume IoT environment. The purpose is to recommend a clear review on how the resources could be maximize or improve properly within different IoT solutions. We compared and reviewed all IoT resource discovery literature and solutions, categorizing a final collection of 19 related papers and then produce summarisation in three different tables. Based on the outputs, we are able to provide an overview of the IoT resource discovery categories, main areas of the research, IoT platforms, simulation tools and recommended solutions. Finally, we hope this review can provides insight result for every IoT sources, propose appropriate techniques or methods that can help to ensure the IoT resource discovery becomes most effective in the future.. 2019-12 Article PeerReviewed text en http://eprints.unisza.edu.my/6759/1/FH02-FIK-20-48589.pdf Azrul Amri, Jamal and Elissa Nadia, Madi (2019) Resource discovery in high-volume internet of things: Systematic research. International Journal of Innovative Technology and Exploring Engineering (IJITEE), 8 (12S2). pp. 437-444. ISSN 2278-3075
institution Universiti Sultan Zainal Abidin
building UNISZA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Sultan Zainal Abidin
content_source UNISZA Institutional Repository
url_provider https://eprints.unisza.edu.my/
language English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Azrul Amri, Jamal
Elissa Nadia, Madi
Resource discovery in high-volume internet of things: Systematic research
description Currently, several issues in Internet of Things (IoT) resource discovery is still being analyzed and verified. This paper offers a comparison with systematic literature and solution perspective on the resources discovery issues in the high-volume IoT environment. The purpose is to recommend a clear review on how the resources could be maximize or improve properly within different IoT solutions. We compared and reviewed all IoT resource discovery literature and solutions, categorizing a final collection of 19 related papers and then produce summarisation in three different tables. Based on the outputs, we are able to provide an overview of the IoT resource discovery categories, main areas of the research, IoT platforms, simulation tools and recommended solutions. Finally, we hope this review can provides insight result for every IoT sources, propose appropriate techniques or methods that can help to ensure the IoT resource discovery becomes most effective in the future..
format Article
author Azrul Amri, Jamal
Elissa Nadia, Madi
author_facet Azrul Amri, Jamal
Elissa Nadia, Madi
author_sort Azrul Amri, Jamal
title Resource discovery in high-volume internet of things: Systematic research
title_short Resource discovery in high-volume internet of things: Systematic research
title_full Resource discovery in high-volume internet of things: Systematic research
title_fullStr Resource discovery in high-volume internet of things: Systematic research
title_full_unstemmed Resource discovery in high-volume internet of things: Systematic research
title_sort resource discovery in high-volume internet of things: systematic research
publishDate 2019
url http://eprints.unisza.edu.my/6759/1/FH02-FIK-20-48589.pdf
http://eprints.unisza.edu.my/6759/
_version_ 1734304578278522880
score 13.211869

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