Blockchain and Multiple Linear Regression-based Energy Trading Scheme for Electric Vehicles

Kakkar, Riya; Gupta, Rajesh; Obaidiat, Mohammad S.; Tanwar, Sudeep

doi:10.1109/cits52676.2021.9618021

Cited by 5 publications

(2 citation statements)

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“…To highlight the advantages of blockchain technology in energy trading, Kakkar et al [24] discussed a blockchain and multiple linear regression-based energy trading scheme to deal with security and privacy issues of data storage of EVs. However, they did not consider the various security attacks such as Denial-of-Service (DoS), data manipulation, and cyber against the data storage of users.…”

Section: Introductionmentioning

confidence: 99%

“…• Most conventional energy trading schemes have focused on the security aspect of the EVs while neglecting the optimal payoff between them; • As per the literature, researchers have addressed the security and privacy issues of EVs energy trading schemes. As a result, authors in [12,[24][25][26] investigated the blockchainbased energy trading scheme to strengthen the security and transparency of the EVs communication. However, they have ignored the price optimality aspect of EVs along with other factors such as profit for consumers, computation time, and data storage computation.…”

Section: Introductionmentioning

confidence: 99%

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Blockchain and Double Auction-Based Trustful EVs Energy Trading Scheme for Optimum Pricing

et al. 2022

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Electric vehicles (EVs) have gained prominence in smart transportation due to their unparalleled benefits of reduced carbon footprints, improved performance, and intelligent energy trading mechanisms. These potential benefits have increased EV adoption at massive scales, but energy management in EVs is a critical study problem. The problem is further intensified due to the scarcity of charging stations (CSs) in near EV proximity. Moreover, as energy transactions occur over open channels, it presents critical security, privacy, and trust issues among decentralized channels. To address the open limitations of trusted energy management and optimize the pricing control among EV entities (i.e., prosumers and consumers), the paper proposes a scheme that integrates blockchain and a truthful double auction strategy for trustful EV trading. To address the transaction scalability, we integrate an Interplanetary File System (IPFS) with a double auction mechanism handled through the Remix Smart Contract environment. The double auction leverages an optimal payoff condition between peer EVs. To address the communication latency, we present the scheme at the backdrop of Fifth Generation (5G) networks that minimizes the optimal payoff response time. The scheme is simulated against parameters such as convergence, profit for consumers, computation time, and blockchain analysis regarding node commit latency, collusion attacks, and EV energy consumption. The results indicate the scheme’s viability against traditional (non-blockchain) approaches with high reliability, scalability, and improved cost-efficiency.

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Section: Introductionmentioning

confidence: 99%