Blockchain-Enabled Edge Computing for IoT Networks
Dr. Pankaj Malik 1, Ayush Pandey 2, Ramkrishna Swarnkar 3 , Arnav Bavarva4, Rohit Marmat5
1Asst. Prof., Computer science Engineering, Medi-Caps University, Indore, India
2Student, Computer science Engineering, Medi-Caps University, Indore, India
3Student, Computer science Engineering, Medi-Caps University, Indore, India
4Student, Computer science Engineering, Medi-Caps University, Indore, India
5Student, Computer science Engineering, Medi-Caps University, Indore, India
---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract - The proliferation of Internet of Things (IoT) devices has led to an unprecedented volume of data generated at the network edge, necessitating efficient and secure processing mechanisms. This research explores the integration of blockchain technology with edge computing to address the challenges associated with managing and processing IoT data. The proposed architecture leverages the decentralized nature of blockchain, the proximity and computational capabilities of edge devices, and the efficient data processing of IoT networks. A comprehensive literature review establishes the context, highlighting existing research on IoT networks, edge computing, and blockchain technologies. The methodology section details the approach taken in designing and evaluating the integration, encompassing the selection criteria for edge devices, blockchain platforms, and IoT devices. The core of the paper presents a novel blockchain-enabled edge computing architecture tailored for IoT networks, emphasizing the interactions between edge devices, IoT devices, and blockchain nodes. An exploration of benefits and challenges provides insights into the anticipated advantages of the integration, addressing scalability, security, and data integrity concerns. Real-world use cases and applications showcase the practical implications of the proposed framework across industries. Performance evaluation metrics, including latency, throughput, and resource utilization, offer a quantitative assessment of the integrated system's efficacy. Security and privacy considerations delve into the mechanisms implemented to safeguard sensitive IoT data within the blockchain-enabled edge computing paradigm. The paper concludes with a discussion of future research opportunities and the potential evolution of this integrated approach in the context of emerging technologies such as 6G and quantum-safe blockchain. Overall, this research contributes to the discourse on enhancing the efficiency, security, and applicability of IoT networks through the integration of blockchain and edge computing.