1. Blockchain-Enhanced Fair and Efficient Energy Trading in Industrial Internet of Things
- Author
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Yixian Yang, Jianwen Hu, Xiaomei Yu, Xiaobin Qian, Yuling Chen, and Xiaojun Ren
- Subjects
Article Subject ,Computer Networks and Communications ,Computer science ,business.industry ,Transparency (market) ,Transaction time ,TK5101-6720 ,Computer security ,computer.software_genre ,Computer Science Applications ,Order (exchange) ,Telecommunication ,Resource allocation ,Trading strategy ,The Internet ,business ,Database transaction ,computer ,Efficient energy use - Abstract
As the technical support of the industrial Internet of Things, blockchain technology has been widely used in energy trading, data transactions, and Internet of Vehicles. However, most of the existing energy trading models only address the transaction security and transaction privacy issues that arise in the energy trading process, ignoring the fairness of resource allocation and transaction equity in the trading process. In order to tackle those problems, an energy trading scheme called HO-TRAD is proposed in this paper to improve the efficiency of model trading while ensuring the fairness of energy trading. We propose a new trading strategy in the HO-TRAD energy trading scheme that guarantees fairness in the allocation of trading resources by introducing an entity’s active reputation value. Use smart contracts to achieve transparency and ensure fairness in the transaction process. Based on the identity verification foundation of the consortium chain, the scheme enhances the existing PBFT consensus algorithm and improves the efficiency of model transactions. The experimental simulation indicates that the scheme requires less transaction time and has higher transaction fairness and security.
- Published
- 2021
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