Please use this identifier to cite or link to this item: https://ruomo.lib.uom.gr/handle/7000/1833
Title: Scalable On-Chain and Off-Chain Blockchain for Sharing Economy in Large-Scale Wireless Networks
Authors: Cai, Ting
Chen, Wuhui
Psannis, Kostas E.
Goudos, Sotirios K.
Yu, Yang
Zheng, Zibin
Wan, Shaohua
Type: Article
Subjects: FRASCATI::Engineering and technology
FRASCATI::Engineering and technology::Electrical engineering, Electronic engineering, Information engineering
Keywords: Wireless networks
Scalability
Information sharing
Sharing economy
Electric vehicles
Real-time systems
Blockchains
Issue Date: Jun-2022
Publisher: IEEE
Source: IEEE Wireless Communications
Volume: 29
Issue: 3
First Page: 32
Last Page: 38
Abstract: In the future sharing economy, billions of underutilized IoT devices will be deployed to enable a powerful and large-scale sharing market that produces economic, environmental, and social benefits. Given the fact that communications in numerous IoT devices through wireless links are unreliable, blockchain technology, as a promising solution, has emerged to achieve reliable and secure sharing services in a decentralized manner. However, applying blockchain in large-scale wireless networks confronts scalability challenges. This motivates us to propose a real-time, trusted data interactive, and fine-grained transaction supportable sharing framework, the core of which is a novel two-layer scaling blockchain design. In the on-chain layer, sharing-oriented sharding is employed to enable secure and efficient processing of macro-transactions on the chain. In the off-chain layer, cross-zone off-chain channels are set up to provide real-time sharing transactions with high-frequency micro-trading scenarios. Finally, a proof-of-concept case study of electric vehicle sharing data is implemented with experimental results to demonstrate the feasibility of our framework.
URI: https://doi.org/10.1109/MWC.004.2100616
https://ruomo.lib.uom.gr/handle/7000/1833
ISSN: 1536-1284
1558-0687
Other Identifiers: 10.1109/MWC.004.2100616
Appears in Collections:Department of Applied Informatics

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