A cross-layer trust-based consensus protocol for peer-to-peer energy trading using fuzzy logic

Journal article


Chowdhury, Mohammad Jabed M., Usman, Muhammad, Ferdous, Md Sadek, Chowdhury, Niaz, Harun, Anam Ibna, Jannat, Umme Sumaya and Biswas, Kamanashis. (2022). A cross-layer trust-based consensus protocol for peer-to-peer energy trading using fuzzy logic. IEEE Internet of Things Journal. 9(16), pp. 14779-14789. https://doi.org/10.1109/JIOT.2021.3063710
AuthorsChowdhury, Mohammad Jabed M., Usman, Muhammad, Ferdous, Md Sadek, Chowdhury, Niaz, Harun, Anam Ibna, Jannat, Umme Sumaya and 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.

Keywordsblockchain; cross-layer; energy trading; fuzzy logic; trust
Year2022
JournalIEEE Internet of Things Journal
Journal citation9 (16), pp. 14779-14789
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISSN2327-4662
Digital Object Identifier (DOI)https://doi.org/10.1109/JIOT.2021.3063710
Scopus EID2-s2.0-85102625800
Page range14779-14789
Publisher's version
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All rights reserved
File Access Level
Controlled
Output statusPublished
Publication dates
Online08 Mar 2021
Publication process dates
Deposited20 Oct 2021
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