4.6 Article

An Energy-Efficient and Blockchain-Integrated Software Defined Network for the Industrial Internet of Things

期刊

SENSORS
卷 22, 期 20, 页码 -

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MDPI
DOI: 10.3390/s22207917

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software-defined networking; blockchain; industrial internet of things; cluster head selection; energy model

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The number of unsecured and portable Internet of Things (IoT) devices in the smart industry is growing exponentially. Blockchain and Software-Defined Networking (SDN) are emerging technologies that provide a secure system and safe network connectivity. This paper proposes an energy-efficient blockchain-integrated software-defined networking architecture for Industrial IoT (IIoT) to overcome the challenges of existing networks.
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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