An advanced strategy for addressing heterogeneity in SDN-IoT networks for ensuring QoS

The internet of things (IoT) is a complex system that includes multiple technologies and services. However, its heterogeneity can result in quality-of-service (QoS) issues, which may lead to security challenges. Software-defined network (SDN) provides unique solutions to handle heterogeneity issues...

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Main Authors: Abuzar Zafar, Fahad Samad, Hassan Jamil Syed, Ashraf Osman Ibrahim Elsayed, Manar Alohaly, Muna Elsadig
Format: Article
Language:English
English
Published: MDPI AG, Basel, Switzerland 2023
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Online Access:https://eprints.ums.edu.my/id/eprint/38213/1/ABSTRACT.pdf
https://eprints.ums.edu.my/id/eprint/38213/2/FULL%20TEXT.pdf
https://eprints.ums.edu.my/id/eprint/38213/
https://doi.org/10.3390/app13137856
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Institution: Universiti Malaysia Sabah
Language: English
English
id my.ums.eprints.38213
record_format eprints
spelling my.ums.eprints.382132024-02-09T03:18:05Z https://eprints.ums.edu.my/id/eprint/38213/ An advanced strategy for addressing heterogeneity in SDN-IoT networks for ensuring QoS Abuzar Zafar Fahad Samad Hassan Jamil Syed Ashraf Osman Ibrahim Elsayed Manar Alohaly Muna Elsadig QA75-76.95 Calculating machines TK5101-6720 Telecommunication Including telegraphy, telephone, radio, radar, television The internet of things (IoT) is a complex system that includes multiple technologies and services. However, its heterogeneity can result in quality-of-service (QoS) issues, which may lead to security challenges. Software-defined network (SDN) provides unique solutions to handle heterogeneity issues in large-scale IoT networks. Combining SDN with IoT networks has great potential for addressing extreme heterogeneity issues in IoT networks. Numerous researchers are investigating various techniques to resolve heterogeneity issues in IoT networks by integrating SDN. Our study focuses on the SDN-IoT domain to improve QoS by addressing heterogeneity. Heterogeneity in SDN-IoT networks can increase the response time of controllers. We propose a framework that can alleviate heterogeneity while maintaining QoS in SDN-IoT networks. The framework converts m heterogeneous controllers into n homogeneous groups based on their response time. First, we examine the impact of the controller’s bandwidth and find that the system throughput decreases when the controller’s bandwidth is lowered. Next, we implement a simple strategy that considers both the bandwidth and service time when selecting the peer controller. Our results show some improvement in the framework, indicating its potential to alleviate heterogeneity while maintaining QoS and other metrics. MDPI AG, Basel, Switzerland 2023 Article NonPeerReviewed text en https://eprints.ums.edu.my/id/eprint/38213/1/ABSTRACT.pdf text en https://eprints.ums.edu.my/id/eprint/38213/2/FULL%20TEXT.pdf Abuzar Zafar and Fahad Samad and Hassan Jamil Syed and Ashraf Osman Ibrahim Elsayed and Manar Alohaly and Muna Elsadig (2023) An advanced strategy for addressing heterogeneity in SDN-IoT networks for ensuring QoS. Applied Sciences, 13. pp. 1-24. ISSN 2076-3417 https://doi.org/10.3390/app13137856
institution Universiti Malaysia Sabah
building UMS Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sabah
content_source UMS Institutional Repository
url_provider http://eprints.ums.edu.my/
language English
English
topic QA75-76.95 Calculating machines
TK5101-6720 Telecommunication Including telegraphy, telephone, radio, radar, television
spellingShingle QA75-76.95 Calculating machines
TK5101-6720 Telecommunication Including telegraphy, telephone, radio, radar, television
Abuzar Zafar
Fahad Samad
Hassan Jamil Syed
Ashraf Osman Ibrahim Elsayed
Manar Alohaly
Muna Elsadig
An advanced strategy for addressing heterogeneity in SDN-IoT networks for ensuring QoS
description The internet of things (IoT) is a complex system that includes multiple technologies and services. However, its heterogeneity can result in quality-of-service (QoS) issues, which may lead to security challenges. Software-defined network (SDN) provides unique solutions to handle heterogeneity issues in large-scale IoT networks. Combining SDN with IoT networks has great potential for addressing extreme heterogeneity issues in IoT networks. Numerous researchers are investigating various techniques to resolve heterogeneity issues in IoT networks by integrating SDN. Our study focuses on the SDN-IoT domain to improve QoS by addressing heterogeneity. Heterogeneity in SDN-IoT networks can increase the response time of controllers. We propose a framework that can alleviate heterogeneity while maintaining QoS in SDN-IoT networks. The framework converts m heterogeneous controllers into n homogeneous groups based on their response time. First, we examine the impact of the controller’s bandwidth and find that the system throughput decreases when the controller’s bandwidth is lowered. Next, we implement a simple strategy that considers both the bandwidth and service time when selecting the peer controller. Our results show some improvement in the framework, indicating its potential to alleviate heterogeneity while maintaining QoS and other metrics.
format Article
author Abuzar Zafar
Fahad Samad
Hassan Jamil Syed
Ashraf Osman Ibrahim Elsayed
Manar Alohaly
Muna Elsadig
author_facet Abuzar Zafar
Fahad Samad
Hassan Jamil Syed
Ashraf Osman Ibrahim Elsayed
Manar Alohaly
Muna Elsadig
author_sort Abuzar Zafar
title An advanced strategy for addressing heterogeneity in SDN-IoT networks for ensuring QoS
title_short An advanced strategy for addressing heterogeneity in SDN-IoT networks for ensuring QoS
title_full An advanced strategy for addressing heterogeneity in SDN-IoT networks for ensuring QoS
title_fullStr An advanced strategy for addressing heterogeneity in SDN-IoT networks for ensuring QoS
title_full_unstemmed An advanced strategy for addressing heterogeneity in SDN-IoT networks for ensuring QoS
title_sort advanced strategy for addressing heterogeneity in sdn-iot networks for ensuring qos
publisher MDPI AG, Basel, Switzerland
publishDate 2023
url https://eprints.ums.edu.my/id/eprint/38213/1/ABSTRACT.pdf
https://eprints.ums.edu.my/id/eprint/38213/2/FULL%20TEXT.pdf
https://eprints.ums.edu.my/id/eprint/38213/
https://doi.org/10.3390/app13137856
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