An Optimized SDN Framework for the Internet of Things


연구 분야: Networking



학회: 2024 11th International Conference on Software Defined Systems (SDS)


초록

Low-power wireless networks (LPWN) have traditionally been central to the discussion of the Internet of Things (IoT). Nevertheless, as these networks grow more complex, their control architectures and protocols reveal significant limitations, particularly when dealing with multi-hop topologies and lossy channels. To tackle these challenges, there has been growing interest in adopting Software Defined Networking (SDN), which has revolutionized data center and campus network management over the past decade by moving away from traditional vertical infrastructure. Despite its advantages, the centralized SDN model encounters substantial difficulties in the restricted settings of LPWN. The current study investigates the leverage of SDN concepts to control Industrial IoT dynamically and flexibly while focusing on minimizing and managing SDN overhead. This paper designs and implements a novel SDN architecture tailored for LPWN: Optimized SDN (OSDN), in addition to simulated, experimental, and analytical findings. The results highlight that OSDN meets the diverse and complex traffic demands of Industrial IoT applications throughout LPWN and that challenges in integrating SDN in limited IoT networks can be successfully addressed.


Author Profile
Zina Houhamdi

Cybersecurity Department College of Engineering Al Ain University Al Ain United Arab Emirates

Albania
Author Profile
Mohamed Raid Athamena

Department of Informatics Faculty of Natural Math. and Eng. Sci. King’s College London London United Kingdom

Andorra
Author Profile
Belkacem Athamena

Business Administration Department College of Business Al Ain University Al Ain United Arab Emirates

Albania

📄 논문 정보

발행 연도 2024년
인용수 1
출판 국가 Andorra, Albania
사이트 IEEE
좋아요 수 0

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