Blockchain-Based Content Retrieval Mechanism in NDN-Enabled V2G Networks

【Author】 Aggarwal, Shubhani; Kumar, Neeraj; Mohammad, Nazeeruddin; Barnawi, Ahmed

【Source】IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS

【影响因子】11.648

【Abstract】In the coming years, massive amounts of data are likely to be traded in vehicle-to-grid (V2G) networks to enhance traffic efficiency and safety through vehicular communications. However, several challenges need to be addressed before realizing the full potential of V2G networks. These challenges include the privacy-preservation of users, secure caching, scalability in deep environments, unreliability in high mobility events, and low efficiency in large networks. To overcome these challenges in V2G networks, named data networking (NDN) offers a good solution. It provides a new future Internet architecture: "named content-based" rather than "host addresses." The main focus of NDN in V2G networks is to provide data availability, network performance, data retrieval, and data distribution. However, the presence of NDN in V2G networks introduces several issues like privacy and trust among vehicular nodes. Hence, this article proposes a system model based on blockchain technology in NDN-enabled V2G networks. This model provides secure and fast named content searching and enhances the trust among vehicular nodes. The simulation results show that the block propagation latency of NDN-based blockchain is less than the IP-based blockchain systems. In addition, the performance of the proposed scheme outperforms an existing scheme. The reason is to use the proof-of-authority consensus mechanism compared to proof of work, which uses high mining computation power. Furthermore, the proposed scheme increases the trust and transparency in NDN-enabled V2G networks.

【Keywords】Vehicle-to-grid; Blockchains; Security; Protocols; Data models; Privacy; Smart contracts; Blockchain; content retrieval; named data networking (NDN); privacy and trust; vehicle-to-grid (V2G)

【发表时间】2024 2024 SEP 24

【收录时间】2024-10-10

【文献类型】理论模型

【主题类别】

区块链应用-实体经济-汽车领域