The Internet of vehicles and blockchain are two major research hotspots in the field of academic research. By investigating the existing literature, this study summarizes and explains some key technologies or contents in the field of IoV and blockchain, such as the vehicular edge computing framework, task offloading optimization objectives, the organizational structure and working principle of blockchain, and the technical advantages of blockchain. This paper also surveys the current research articles related to the application of blockchain technology in the field of IoV, explains the technical benefits brought by the combination of IoV and blockchain from many aspects, and summarizes the future research directions and challenges that will be faced.

Zhu Xiaoli, Ba Ping, Gu Kunyuan. Opportunities and Challenges: Blockchain Enables in Vehicle Edge Computing—A New Direction in the Internet of Vehicles. International Journal of New Developments in Engineering and Society (2024) Vol.8, Issue 3: 1-5. https://doi.org/10.25236/IJNDES.2024.080301.

[1] Mirza. Research on Computational Offloading in On-board Edge Computing [D]. Beijing University of Posts and Telecommunications, 2023. 

[2] Yuan Yong, Ni Xiaochun, Zeng Shuai, et al. Development status and prospect of blockchain consensus Algorithm [J]. Acta Automatica Sinica, 2018, 44(11):2011-2022.

[3] Zhang Ao, Duan XuTing. Overview of the application of blockchain technology in transportation [C]// China Association for Science and Technology, Ministry of Transport, Chinese Academy of Engineering, People's Government of Hubei Province. Proceedings of World Transport Congress 2022 (WTC2022) (Traffic Engineering and Air Transport). People's Communications Press Co., LTD., 2022:9.

[4] Peng Xuefei, Liu Aohui. Research review of in-vehicle edge computing [J]. Telecommunication Science, 2023, 39(12):19-28. (in Chinese)

[5] Li Zhiyong, Wang Qi, Chen Yifan, et al. Research review on task unloading in vehicle edge Computing environment [J]. Chinese Journal of Computers, 2019, 44(05):963-982. (in Chinese)

[6] Li Le, Liu Meifang, Chen Rong, et al. Research on collaborative control method of vehicle formation based on Edge Intelligence [J/OL]. Computer Science, 1-9[2024-05-09].

[7] Xue Jian-Bin, Wang Hai-niu, Guan Xiang-Rui, et al. Research on dynamic Task offloading Scheme based on MAB in on-board edge Computing Networks [J]. Computer Science, 2023, 50(S2):737-745.

[8] Zeng Shiqin, Huo Ru, Huang Tao, et al. Review of blockchain technology: Principle, progress and application [J]. Journal of Communications, 2020, 41(01):134-151. 

[9] Christidis K , Devetsikiotis M .Blockchains and Smart Contracts for the Internet of Things[J].IEEE Access, 2016, 4:2292-2303.

[10] Hellman M E. An overview of public key cryptography[J]. IEEE Communications Magazine, 2002, 40(5): 42-49.

[11] Acharjamayum, R. Patgiri and D. Devi. Blockchain: A Tale of Peer to Peer Security[C]. 2018 IEEE Symposium Series on Computational Intelligence (SSCI), Bangalore, India, 2018, 609-617.

[12] Zheng Z, Xie S, Dai H N, et al. Blockchain challenges and opportunities: A survey[J]. International journal of web and grid services, 2018, 14(4): 352-375.

[13] Xia Ying, Qin Juan, Zhao Jing, et al. Anonymous identity authentication algorithm for vehicle networking based on CP-ABE and blockchain [J]. Journal of Qiqihar University (Natural Science Edition), 2023, 39(06):34-41.

[14] Li Fengyun, Chen Mingming, Wang Lin, et al. Research on trust management mechanism of Vehicle networking based on blockchain [J]. Computer Science, 2024, 51(04):381-387.

[15] Wang Yali, Lou Shihao. Trusted task offloading strategy for vehicle networking based on multi-agent deep reinforcement learning [J/OL]. Computer application research, 1-7 [2024-05-11]. https://doi.org/10.19734/j.issn.1001-3695.2023.11.0546.

[16] Wang Siming. Based on block edge chain of on-board computing resources optimization research [D]. Guangdong University of Technology, 2019. The DOI: 10.27029 /, dc nki. Ggdgu. 2019.000343.