CyreumE: A real-time situational awareness and decision making blockchain-based architecture for the energy Internet
Sani, Abubakar Sadiq, Yuan, Dong, Ogaji, S. and Dong, Zhao Yang (2020) CyreumE: A real-time situational awareness and decision making blockchain-based architecture for the energy Internet. In: Tian, Yuchu and Levy, David Charles, (eds.) Handbook of Real-Time Computing. Springer, Singapore, pp. 1-49. ISBN 9789814585873 (doi:10.1007/978-981-4585-87-3_48-1)
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Abstract
Providing reliable and adequate electricity supply has been a persistent concern in the power sector of the less developed countries. While there has been an increasing interest in the use of blockchain in power grid for energy trading around the developed economies, technical challenges such as identifying and preventing operational inefficiency and nontechnical challenges such as inefficient and disintegrated decision-making across the power grid value chain have continuously hindered the overall efficiency of the sector. In this chapter, we present CyreumE, a blockchain-based real-time situational awareness and decision-making architecture with distributed value chain framework (DVC) for the Energy Internet which uses a combination of advanced lightweight cryptography, knowledge representation model, and decision-making process. Despite huge computational costs of blockchains which involve high delays that are not suitable for the power grid, CyreumE proposes CyreumE-CP for efficient data communications which eliminates the delays of blockchains. CyreumE-CP uses shared secret session keys to prevent security attacks from disrupting and weakening the communications. Furthermore, CyreumE prevents operational inefficiency in the power grid via a real-time situational awareness process (RSA) and efficiently utilizes a real-time decision-making process (RDM) for decision-making across the power grid value chain which enhances funding and
investment opportunities. We validate CyreumE-CP on ultralow-power IEEE 802.15.4 wireless sensor module and CyreumE on a real-world dataset collected from power generation and distribution facilities. We apply our architecture to two challenges such as unavailability of real-time operational data/reliability issues and losses in the power grid as well as disputes across the value chain. Our results show that CyreumE provides real-time operational efficiency and decision-making guarantees.
Item Type: | Book Section |
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Uncontrolled Keywords: | Energy Internet, blockchain, situational awareness, decision-making |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software |
Faculty / School / Research Centre / Research Group: | Faculty of Liberal Arts & Sciences Faculty of Engineering & Science > Internet of Things and Security Research Centre (ISEC) |
Related URLs: | |
Last Modified: | 29 Jul 2021 10:52 |
URI: | http://gala.gre.ac.uk/id/eprint/33218 |
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