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Asaithambi S, Ravi L, Kotb H, Milyani AH, Azhari AA, Nallusamy S, Varadarajan V, Vairavasundaram S. An Energy-Efficient and Blockchain-Integrated Software Defined Network for the Industrial Internet of Things. SENSORS (BASEL, SWITZERLAND) 2022; 22:7917. [PMID: 36298266 PMCID: PMC9607010 DOI: 10.3390/s22207917] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Revised: 10/11/2022] [Accepted: 10/14/2022] [Indexed: 06/16/2023]
Abstract
The number of unsecured and portable Internet of Things (IoT) devices in the smart industry is growing exponentially. A diversity of centralized and distributed platforms have been implemented to defend against security attacks; however, these platforms are insecure because of their low storage capacities, high power utilization, single node failure, underutilized resources, and high end-to-end delay. Blockchain and Software-Defined Networking (SDN) are growing technologies to create a secure system and to ensure safe network connectivity. Blockchain technology offers a strong and trustworthy foundation to deal with threats and problems, including safety, privacy, adaptability, scalability, and security. However, the integration of blockchain with SDN is still in the implementation phase, which provides an efficient resource allocation and reduced latency that can overcome the issues of industrial IoT networks. We propose an energy-efficient blockchain-integrated software-defined networking architecture for Industrial IoT (IIoT) to overcome these challenges. We present a framework for implementing decentralized blockchain integrated with SDN for IIoT applications to achieve efficient energy utilization and cluster-head selection. Additionally, the blockchain-enabled distributed ledger ensures data consistency throughout the SDN controller network and keeps a record of the nodes enforced in the controller. The simulation result shows that the proposed model provides the best energy consumption, end-to-end latency, and overall throughput compared to the existing works.
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Affiliation(s)
- Sasikumar Asaithambi
- Department of Electronics and Communication Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai 600062, Tamil Nadu, India
| | - Logesh Ravi
- SENSE, Vellore Institute of Technology, Chennai 600127, Tamil Nadu, India
- Data Engineering Research Group (DERG–SENSE), Vellore Institute of Technology, Chennai 600127, Tamil Nadu, India
| | - Hossam Kotb
- Department of Electrical Power and Machines, Faculty of Engineering, Alexandria University, Alexandria 21544, Egypt
| | - Ahmad H. Milyani
- Department of Electrical and Computer Engineering, King Abdulaziz University, Jeddah 21589, Saudi Arabia
- Center of Research Excellence in Renewable Energy and Power Systems, King Abdulaziz University, Jeddah 21589, Saudi Arabia
| | | | - Senthilkumar Nallusamy
- Department of Electronics and Communication Engineering, M.Kumarasamy College of Engineering, Karur 639113, Tamil Nadu, India
| | - Vijayakumar Varadarajan
- School of Computer Science and Engineering, University of New South Wales, Sydney 2052, Australia
- Ajeenkya DY Patil University, Pune 412105, Maharashtra, India
- Swiss School of Business Management, SSBM, 1213 Geneva, Switzerland
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