Converging Pathways: Exploring the Integration of SDN and IoT for Enhanced Networking Capabilities

Sowndharya ¹ , WinniDeLeo ² , Maheshwari ³ , Jeeva ⁴

Section:Review Paper, Product Type: Journal-Paper
Vol.12 , Issue.3 , pp.66-73, Jun-2024

Online published on Jun 30, 2024

Copyright © Sowndharya, WinniDeLeo, Maheshwari, Jeeva . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

View this paper at   Google Scholar | DPI Digital Library

XML View     PDF Download

How to Cite this Paper

Abstract :
The convergence of Software-Defined Networking (SDN) and the Internet of Things (IoT) represents a paradigm shift in network architecture, offering unprecedented opportunities for enhanced networking capabilities. This paper explores the integration of SDN and IoT technologies, investigating novel approaches to network management, resource optimization, and security. One of the key benefits of integrating SDN and IoT is enhanced network management capabilities. SDN controllers provide a centralized view of the network, allowing administrators to monitor and configure IoT devices from a single point of control. This centralized approach simplifies network management tasks, reduces operational overhead, and improves visibility into network traffic patterns. Additionally, SDN enables policy-based management, allowing administrators to enforce security policies and Quality of Service (QoS) requirements across the IoT ecosystem. Resource optimization is another area where the integration of SDN and IoT offers significant advantages. SDN controllers can intelligently allocate network resources based on the requirements of IoT applications, ensuring optimal performance and efficient utilization of bandwidth. By dynamically adjusting network configurations in response to changing traffic patterns, SDN enhances scalability and agility, enabling IoT deployments to scale seamlessly as demand fluctuates.

Key-Words / Index Term :
Software-Defined Networking, Internet of Things, integration, network management, resource optimization, Quality of Service (QoS), scalability.

References :
[1] Rashid Mijumbi, Joan Serrat, Juan-Luis Gorricho, NatividadMartĂ­nez Madrid, and Prosper Chemouil, "Network Function Virtualization: State-of-the-art and Research Challenges", IEEE Communications Surveys & Tutorials, 2016.
[2] Chih-Lin I, Han Chih-Lin, ShuChieh, and Yung-Shun, “Toward Green and Soft: A 5G Perspective", IEEE Network, 2014.
[3] Syed Hassan Ahmed, Syed Ali Hassan, JunaidQadir, and Salahuddin Muhammad Salahuddin, "SDN-enabled IoT Networking: A Comprehensive Survey", IEEE Communications Surveys & Tutorials, 2017.
[4] Shuai Wang, Jianjun Yu, Weili Han, and ZongmingGuo, "SDN-based Security Mechanisms for IoT Networks: A Comprehensive Review and Future Directions", IEEE Internet of Things Journal, 2019.
[5] Xiaowei Wang, Feng Cao, Jinwei Liu, Wenjie Li, and Guihai Chen, "Data Center Network Architecture in the Cloud Computing Era: A Tutorial", IEEE Communications Surveys & Tutorials, 2013.
[6] Bin Zhao, Pengcheng Wang, Pengfei Zhao, and Qinghe Du, "Dynamic resource allocation algorithm based on software-defined network for the Internet of Things", Journal of Ambient Intelligence and Humanized Computing, 2021.
[7] Seung-Hwa Chung and Dae-Young Kim, "SDN-based QoS-aware traffic prioritization mechanism for Internet of Things environments", International Journal of Distributed Sensor Networks, 2019.
[8] Dibakar Das and S. M. Zafaruddin, "Adaptive Routing Algorithm for Software Defined IoT Networks", IEEE Transactions on Network and Service Management, 2020.
[9] MehmoodRiaz, Muhammad Raza, and Muhammad Abubakar, "SDN-based centralized control mechanism for Internet of Things", Wireless Networks, 2020
[10] Chen-Chi Wang, Chih-Yung Chang, and Chih-Cheng Tseng, "Security enhancement mechanism of SDN-based IoT networks", International Journal of Communication Systems, 2019.
[11] Z. A. Qazi, C.-C. Tu, L. Chiang, R. Miao, V. Sekar, and M. Yu, "Dynamic Resource Allocation for Software-Defined Networks: A Literature Survey", IEEE Communications Surveys & Tutorials, 2013.
[12] Giovanni Cesar Marquez-Barja, Bruno Lannoo, Didier Colle, Piet Demeester, "SDN-Based Dynamic Resource Management for a Smart IoT Environment", IEEE Internet of Things Journal, 2017.
[13] AminullahKhormali, FatemehPakzad, Mehdi Ghelichi, Dynamic Resource Allocation in SDN-Enabled IoT Networks: A Reinforcement Learning Approach, Computer Networks, 2021.
[14] GeethaJayakumar, Arun Shankar S. R. S., "QoS-aware traffic engineering with SDN-based dynamic flow prioritization for IoT applications", Future Generation Computer Systems, 2020.
[15] Mohamed FatenZhani, TalebLarbi, RaoufBoutaba, "Software-Defined Networking-Based QoS-Aware Management in IoT Networks", IEEE Transactions on Network and Service Management, 2019.
[16] Chien-Chung Shen, KyeongSoo Kim, Kyung-Jun Park, "QoS Management and Traffic Prioritization in SDN-enabled IoT Networks", IEEE Access, 2021.
[17] AbdelkaderLahmadi, Isabelle Chrisment, Olivier Festor, "A Self-Adaptive Framework for SDN-Based IoT Systems", IEEE Internet of Things Journal, 2019.
[18] MazinAlsenwi, Ye Li, Chuan Ma, Chih-Lin I, "Adaptive Resource Management and Traffic Engineering in SDN-Based IoT Networks", IEEE Transactions on Network and Service Management, 2020.
[19] Muhammad AwaisNaeem, Ejaz Ahmed, YaserJararweh, Eesa Al Solami, "Proactive and Adaptive Management of IoT Networks Using Software-Defined Networking", IEEE Access, 2021.
[20] Florence O. Elei, Charles O. Ikerionwu, Azubuike I. Erike, Yusuf U. Mshelia, "Transition to Value-Based Care IoT Wearable Devices in Maternity Healthcare for Low-Resource Countries", International Journal of Scientific Research in Computer Science and Engineering, Vol.11, Issue.4, pp.8-14, 2023.
[21] Vidhi Tiwari, Pratibha Adkar, "Implementation of IoT in Home Automation using android application", International Journal of Scientific Research in Computer Science and Engineering, Vol.7, Issue.2, pp.11-16, 2019.