Scalable EdgeIoT Blockchain Framework Using EOSIO
Ul Haque E. Baig M.S. Ahmed A. Ahmad A. Alajmi M. Ghadi Y.Y. Alkahtani H.K. Akhmediyarova A.
2024Institute of Electrical and Electronics Engineers Inc.
IEEE Access
2024#1241763 - 41772 pp.
Widespread adoption of internet of things (IoT) for automation, monitoring and control in various engineering, business and industrial applications poses serious challenges of data security and cyber-attacks to IoT networks. Blockchain enabled IoT networks, due to their immutability, transparency, and accountability, are commonly employed to ensure safe and secure implementation of the IoT networks. However, blockchain technology is prone to degradation in performance and efficiency in the presence of large number of IoT devices and massive data generated by these networks and does not scale well with the growing size of the networks. This research proposes a Scalable EdgeIoT Blockchain (SEB) framework using EOSIO to enhance the performance and efficiency of the blockchain enabled IoT networks. The proposed framework leverages upon the concepts of sharding for parallel execution of smart contracts, Delegated Proof of Stake (DPoS) for consensus in the network with large number of devices and Interplanetary File System (IPFS) for the data storage and management of massive data in the IoT networks. The proposed framework is implemented in the EOSIO blockchain. This study experiments show significant improvement in the throughput, latency and resource utilization compared to the state-of-the-art solutions in the blockchain enabled IoT networks.
Blockchain , consensus algorithm , data sharding , delegated proof of stake , edge computing , EOSIO , interplanetary file system , the Internet of Things
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Department of Computer Science, MY University, Islamabad, 44000, Pakistan
Department of Computer Engineering, College of Computers and Information Technology, Taif University, Taif, 21944, Saudi Arabia
Department of Computer Science, Al Ain University, Abu Dhabi, United Arab Emirates
Department of Computer Sciences, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh, 11671, Saudi Arabia
Department Computer Engineering, Satbayev University, Almaty, 050000, Kazakhstan
Department of Computer Science
Department of Computer Engineering
Department of Computer Science
Department of Computer Sciences
Department Computer Engineering
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