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Data Dissemination Techniques for Internet of Things Applications : Research Challenges and Opportunities

The escalating prevalence of Internet of Things (IoT) devices has necessitated efficient data dissemination methods to optimize the unprecedented volume of generated data. The rapid expansion of IoT devices and the resulting surge in data creation underscore the necessity for advanced data dissemin...

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Main Authors: Halikul, Lenando, Sanjay Charles, Albert, Mohamad, Alrfaay
Format: Article
Language:English
Published: Sciendo 2024
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://ir.unimas.my/id/eprint/46798/1/Data-Dissemination-Techniques-for-Internet-of-Things-Applications-Research-Challenges-and-Opportunities.pdf
http://ir.unimas.my/id/eprint/46798/
https://sciendo.com/article/10.2478/fcds-2024-0017
https://doi.org/10.2478/fcds-2024-0017
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spelling my.unimas.ir-467982024-12-04T03:01:30Z http://ir.unimas.my/id/eprint/46798/ Data Dissemination Techniques for Internet of Things Applications : Research Challenges and Opportunities Halikul, Lenando Sanjay Charles, Albert Mohamad, Alrfaay QA75 Electronic computers. Computer science The escalating prevalence of Internet of Things (IoT) devices has necessitated efficient data dissemination methods to optimize the unprecedented volume of generated data. The rapid expansion of IoT devices and the resulting surge in data creation underscore the necessity for advanced data dissemination methods. A noticeable gap in existing literature prompts a critical review, specifically addressing challenges and opportunities in IoT data dissemination techniques. This paper aims to categorize and analyze existing data dissemination techniques, highlighting their strengths and limitations. Additionally, it explores emerging opportunities and innovations that can shape the future of IoT applications. Furthermore, the discussion addresses challenges in data dissemination and explores innovative solutions, including machine learning, AI-based strategies, edge, and fog computing, blockchain integration, and advanced 5G/6G networks. The hope is that this study sets the stage for innovative ideas contributing to the efficiency and robustness of IoT applications, informing future endeavours in this dynamic and evolving landscape. Sciendo 2024-12-30 Article PeerReviewed text en http://ir.unimas.my/id/eprint/46798/1/Data-Dissemination-Techniques-for-Internet-of-Things-Applications-Research-Challenges-and-Opportunities.pdf Halikul, Lenando and Sanjay Charles, Albert and Mohamad, Alrfaay (2024) Data Dissemination Techniques for Internet of Things Applications : Research Challenges and Opportunities. Foundations of Computing and Decision Sciences, 49 (4). pp. 323-353. ISSN 2300-3405 https://sciendo.com/article/10.2478/fcds-2024-0017 https://doi.org/10.2478/fcds-2024-0017
institution Universiti Malaysia Sarawak
building Centre for Academic Information Services (CAIS)
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sarawak
content_source UNIMAS Institutional Repository
url_provider http://ir.unimas.my/
language English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Halikul, Lenando
Sanjay Charles, Albert
Mohamad, Alrfaay
Data Dissemination Techniques for Internet of Things Applications : Research Challenges and Opportunities
description The escalating prevalence of Internet of Things (IoT) devices has necessitated efficient data dissemination methods to optimize the unprecedented volume of generated data. The rapid expansion of IoT devices and the resulting surge in data creation underscore the necessity for advanced data dissemination methods. A noticeable gap in existing literature prompts a critical review, specifically addressing challenges and opportunities in IoT data dissemination techniques. This paper aims to categorize and analyze existing data dissemination techniques, highlighting their strengths and limitations. Additionally, it explores emerging opportunities and innovations that can shape the future of IoT applications. Furthermore, the discussion addresses challenges in data dissemination and explores innovative solutions, including machine learning, AI-based strategies, edge, and fog computing, blockchain integration, and advanced 5G/6G networks. The hope is that this study sets the stage for innovative ideas contributing to the efficiency and robustness of IoT applications, informing future endeavours in this dynamic and evolving landscape.
format Article
author Halikul, Lenando
Sanjay Charles, Albert
Mohamad, Alrfaay
author_facet Halikul, Lenando
Sanjay Charles, Albert
Mohamad, Alrfaay
author_sort Halikul, Lenando
title Data Dissemination Techniques for Internet of Things Applications : Research Challenges and Opportunities
title_short Data Dissemination Techniques for Internet of Things Applications : Research Challenges and Opportunities
title_full Data Dissemination Techniques for Internet of Things Applications : Research Challenges and Opportunities
title_fullStr Data Dissemination Techniques for Internet of Things Applications : Research Challenges and Opportunities
title_full_unstemmed Data Dissemination Techniques for Internet of Things Applications : Research Challenges and Opportunities
title_sort data dissemination techniques for internet of things applications : research challenges and opportunities
publisher Sciendo
publishDate 2024
url http://ir.unimas.my/id/eprint/46798/1/Data-Dissemination-Techniques-for-Internet-of-Things-Applications-Research-Challenges-and-Opportunities.pdf
http://ir.unimas.my/id/eprint/46798/
https://sciendo.com/article/10.2478/fcds-2024-0017
https://doi.org/10.2478/fcds-2024-0017
_version_ 1817848782210990080
score 13.223943

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