Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/106088
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Title: A smart energy IoT model based on the Itsuku PoW technology
Authors: Li, J
Chen, YS
Chen, YL
Zhang, WP
Liu, ZH 
Issue Date: Jun-2023
Source: Results in engineering, June 2023, v. 18, 101147
Abstract: Based on the blockchain + software defined network(SDN) technology, we explore and research a new smart energy networks IoT architecture model of distributed trust to solve the "stuck neck" problems such as bandwidth constraints and trust obstruction of the current centralized network architecture of smart energy networks. In order to achieve efficient data flow and sharing and co-governance. Based on the MTP-Argon2 hash function algorithm in the Itsuku PoW technical solution, we add computing power optimization and correction multiobjective optimization operations, and use the network control right separation technology of the FS-Open Security SDN model to establish local database access policies and storage credentials. The traditional hardware devices are separated from the centralized network architecture of the smart energy network into a hybrid network architecture model of distributed trust. The Results show that the distributed trust hybrid network architecture model achieves low latency and circumvents network bandwidth limitations, reflecting the energy efficiency gain and security stability of the model, as well as network load robustness.
Keywords: Blockchain
The proof of work (PoW)
Smart energy networks
Internet of Things(IoT)
Software defined network(SDN)
Publisher: Elsevier BV
Journal: Results in engineering 
EISSN: 2590-1230
DOI: 10.1016/j.rineng.2023.101147
Rights: © 2023 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
The following publication Li, J., Chen, Y., Chen, Y., Zhang, W., & Liu, Z. (2023). A smart energy IoT model based on the Itsuku PoW technology. Results in Engineering, 18, 101147 is available at https://dx.doi.org/10.1016/j.rineng.2023.101147.
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