Integrating Edge Computing and Software Defined Networking in Internet of Things: A Systematic Review
The Internet of Things (IoT) has transformed our interaction with the world by connecting devices, sensors, and systems to the Internet, enabling real-time monitoring, control, and automation in various applications such as smart cities, healthcare, transportation, homes, and grids. However, challen...
Saved in:
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
College of Education, Al-Iraqia University
2023
|
Subjects: | |
Online Access: | http://umpir.ump.edu.my/id/eprint/39363/1/Integrating%20Edge%20Computing%20and%20Software%20Defined%20Networking%20in%20Internet%20of%20Things%20-%20A%20Systematic%20Review.pdf http://umpir.ump.edu.my/id/eprint/39363/ https://doi.org/10.52866/ijcsm.2023.04.04.011 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Universiti Malaysia Pahang Al-Sultan Abdullah |
Language: | English |
id |
my.ump.umpir.39363 |
---|---|
record_format |
eprints |
spelling |
my.ump.umpir.393632023-11-24T02:27:45Z http://umpir.ump.edu.my/id/eprint/39363/ Integrating Edge Computing and Software Defined Networking in Internet of Things: A Systematic Review Imran Edzereiq, Kamarudin Mohamed Ariff, Ameedeen Mohd Faizal, Ab Razak Azlee, Zabidi QA75 Electronic computers. Computer science The Internet of Things (IoT) has transformed our interaction with the world by connecting devices, sensors, and systems to the Internet, enabling real-time monitoring, control, and automation in various applications such as smart cities, healthcare, transportation, homes, and grids. However, challenges related to latency, privacy, and bandwidth have arisen due to the massive influx of data generated by IoT devices and the limitations of traditional cloud-based architectures. Moreover, network management, interoperability, security, and scalability issues have emerged due to the rapid growth and heterogeneous nature of IoT devices. To overcome such problems, researchers proposed a new architecture called Software Defined Networking for Edge Computing in the Internet of Things (SDN-EC-IoT), which combines Edge Computing for the Internet of Things (EC-IoT) and Software Defined Internet of Things (SDIoT). Although researchers have studied EC-IoT and SDIoT as individual architectures, they have not yet addressed the combination of both, creating a significant gap in our understanding of SDN-EC-IoT. This paper aims to fill this gap by presenting a comprehensive review of how the SDN-EC-IoT paradigm can solve IoT challenges. To achieve this goal, this study conducted a literature review covering 74 articles published between 2019 and 2023. Finally, this paper identifies future research directions for SDN-EC-IoT, including the development of interoperability platforms, scalable architectures, low latency and Quality of Service (QoS) guarantees, efficient handling of big data, enhanced security and privacy, optimized energy consumption, resource-aware task offloading, and incorporation of machine learning College of Education, Al-Iraqia University 2023-11-13 Article PeerReviewed pdf en cc_by_4 http://umpir.ump.edu.my/id/eprint/39363/1/Integrating%20Edge%20Computing%20and%20Software%20Defined%20Networking%20in%20Internet%20of%20Things%20-%20A%20Systematic%20Review.pdf Imran Edzereiq, Kamarudin and Mohamed Ariff, Ameedeen and Mohd Faizal, Ab Razak and Azlee, Zabidi (2023) Integrating Edge Computing and Software Defined Networking in Internet of Things: A Systematic Review. Iraqi Journal for Computer Science and Mathematics (IJCSM), 4 (4). pp. 121-150. ISSN 2788-7421. (Published) https://doi.org/10.52866/ijcsm.2023.04.04.011 10.52866/ijcsm.2023.04.04.011 |
institution |
Universiti Malaysia Pahang Al-Sultan Abdullah |
building |
UMPSA Library |
collection |
Institutional Repository |
continent |
Asia |
country |
Malaysia |
content_provider |
Universiti Malaysia Pahang Al-Sultan Abdullah |
content_source |
UMPSA Institutional Repository |
url_provider |
http://umpir.ump.edu.my/ |
language |
English |
topic |
QA75 Electronic computers. Computer science |
spellingShingle |
QA75 Electronic computers. Computer science Imran Edzereiq, Kamarudin Mohamed Ariff, Ameedeen Mohd Faizal, Ab Razak Azlee, Zabidi Integrating Edge Computing and Software Defined Networking in Internet of Things: A Systematic Review |
description |
The Internet of Things (IoT) has transformed our interaction with the world by connecting devices, sensors, and systems to the Internet, enabling real-time monitoring, control, and automation in various applications such as smart cities, healthcare, transportation, homes, and grids. However, challenges related to latency, privacy, and bandwidth have arisen due to the massive influx of data generated by IoT devices and the limitations of traditional cloud-based architectures. Moreover, network management, interoperability, security, and scalability issues have emerged due to the rapid growth and heterogeneous nature of IoT devices. To overcome such problems, researchers proposed a new architecture called Software Defined Networking for Edge Computing in the Internet of Things (SDN-EC-IoT), which combines Edge Computing for the Internet of Things (EC-IoT) and Software Defined Internet of Things (SDIoT). Although researchers have studied EC-IoT and SDIoT as individual architectures, they have not yet addressed the combination of both, creating a significant gap in our understanding of SDN-EC-IoT. This paper aims to fill this gap by presenting a comprehensive review of how the SDN-EC-IoT paradigm can solve IoT challenges. To achieve this goal, this study conducted a literature review covering 74 articles published between 2019 and 2023. Finally, this paper identifies future research directions for SDN-EC-IoT, including the development of interoperability platforms, scalable architectures, low latency and Quality of Service (QoS) guarantees, efficient handling of big data, enhanced security and privacy, optimized energy consumption, resource-aware task offloading, and incorporation of machine learning |
format |
Article |
author |
Imran Edzereiq, Kamarudin Mohamed Ariff, Ameedeen Mohd Faizal, Ab Razak Azlee, Zabidi |
author_facet |
Imran Edzereiq, Kamarudin Mohamed Ariff, Ameedeen Mohd Faizal, Ab Razak Azlee, Zabidi |
author_sort |
Imran Edzereiq, Kamarudin |
title |
Integrating Edge Computing and Software Defined Networking in Internet of Things: A Systematic Review |
title_short |
Integrating Edge Computing and Software Defined Networking in Internet of Things: A Systematic Review |
title_full |
Integrating Edge Computing and Software Defined Networking in Internet of Things: A Systematic Review |
title_fullStr |
Integrating Edge Computing and Software Defined Networking in Internet of Things: A Systematic Review |
title_full_unstemmed |
Integrating Edge Computing and Software Defined Networking in Internet of Things: A Systematic Review |
title_sort |
integrating edge computing and software defined networking in internet of things: a systematic review |
publisher |
College of Education, Al-Iraqia University |
publishDate |
2023 |
url |
http://umpir.ump.edu.my/id/eprint/39363/1/Integrating%20Edge%20Computing%20and%20Software%20Defined%20Networking%20in%20Internet%20of%20Things%20-%20A%20Systematic%20Review.pdf http://umpir.ump.edu.my/id/eprint/39363/ https://doi.org/10.52866/ijcsm.2023.04.04.011 |
_version_ |
1822923862926426112 |