{"title":"Efficient and Secure Energy Trading in Internet of Electric Vehicles Using IOTA Blockchain","authors":"Mudassir Ali, A. Anjum, Adnan Anjum, M. Khan","doi":"10.1109/HONET50430.2020.9322826","DOIUrl":null,"url":null,"abstract":"The Internet of Electric Vehicle (IoEV) energy trading is where the Electric Vehicles (EVs) provide energy to vehicles, grids, community, and buildings. A scalable, efficient, secure, and best price selection scheme is needed that supports the IoEV energy trading transaction. The traditional blockchain is used in the existing researches to achieve these needs. This paper proposes an efficient and secure energy trading scheme in IoEV energy trading using the IOTA blockchain. EVs privacy protection algorithm is proposed in which somebody cannot track EV's exact position. The Stackelberg game theory technique is used to select the best seller at a given time slot and to perform the negotiation between buyers and sellers on the energy price in an off-blockchain manner. The empirical analysis shows that the proposed scheme performs better than the traditional techniques in terms of efficiency, privacy, and energy price.","PeriodicalId":245321,"journal":{"name":"2020 IEEE 17th International Conference on Smart Communities: Improving Quality of Life Using ICT, IoT and AI (HONET)","volume":"95 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 17th International Conference on Smart Communities: Improving Quality of Life Using ICT, IoT and AI (HONET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HONET50430.2020.9322826","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
The Internet of Electric Vehicle (IoEV) energy trading is where the Electric Vehicles (EVs) provide energy to vehicles, grids, community, and buildings. A scalable, efficient, secure, and best price selection scheme is needed that supports the IoEV energy trading transaction. The traditional blockchain is used in the existing researches to achieve these needs. This paper proposes an efficient and secure energy trading scheme in IoEV energy trading using the IOTA blockchain. EVs privacy protection algorithm is proposed in which somebody cannot track EV's exact position. The Stackelberg game theory technique is used to select the best seller at a given time slot and to perform the negotiation between buyers and sellers on the energy price in an off-blockchain manner. The empirical analysis shows that the proposed scheme performs better than the traditional techniques in terms of efficiency, privacy, and energy price.