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A cross-layer trust-based consensus protocol for peer-to-peer energy trading using fuzzy logic
Chowdhury, Mohammad Jabed M. Usman, Muhammad Ferdous, Md Sadek Chowdhury, Niaz Harun, Anam Ibna Jannat, Umme Sumaya Biswas, Kamanashis
Chowdhury, Mohammad Jabed M.
Usman, Muhammad
Ferdous, Md Sadek
Chowdhury, Niaz
Harun, Anam Ibna
Jannat, Umme Sumaya
Biswas, Kamanashis
Abstract
Peer-to-Peer (P2P) energy trading platforms are being actively designed, tested and operated by engineers, power distribution companies and prosumers. The assurance of the accountability of the conduct of different stakeholders through a robust trust management mechanism is imperative in such platforms. The usage of blockchain, as an underlying technology, can ensure numerous properties such as immutability, transparency and traceable execution of transactions, in addition to ensuring trust establishment among different entities of the system. Few blockchain-based decentralized energy trading platforms have been designed in the literature to build trust about the platform and among prosumers. However, none of these proposals have considered human-in-the-loop in the trust establishment process. Moreover, these solutions have considered trust only at a particular layer of blockchain, such as at the application or consensus layer. To bridge this gap, this paper presents a novel cross-layer trust-based consensus protocol that considers human-in-the-loop and employs fuzzy logic to address the issue of vagueness of trust values by offering human interpretable trust level. The experiment results demonstrate the efficiency and effectiveness of our proposed protocol in comparison to established consensus mechanisms. The analysis also shows the protocol is immune against selfish mining, 51% and Sybil attacks.
Keywords
blockchain, cross-layer, energy trading, fuzzy logic, trust
Date
2022
Type
Journal article
Journal
IEEE Internet of Things Journal
Book
Volume
9
Issue
16
Page Range
14779-14789
Article Number
ACU Department
Peter Faber Business School
Faculty of Law and Business
Faculty of Law and Business
Collections
Relation URI
Source URL
Event URL
Open Access Status
License
All rights reserved
File Access
Controlled