Efficient Mining Cluster Selection for Blockchain-Based Cellular V2X Communications

被引:27
作者
Jameel, Furqan [1 ]
Javed, Muhammad Awais [2 ]
Zeadally, Sherali [3 ]
Jantti, Riku [1 ]
机构
[1] Aalto Univ, Dept Commun & Networking, Espoo 02150, Finland
[2] COMSATS Univ Islamabad, Elect & Comp Engn Dept, Islamabad 45550, Pakistan
[3] Univ Kentucky, Coll Commun & Informat, Lexington, KY 40506 USA
关键词
Blockchain; cellular V2X communications; latency; mining; vehicular; RESOURCE-ALLOCATION; SECURE; INTERFERENCE; PERFORMANCE; MANAGEMENT; LATENCY; ACCESS; IOT;
D O I
10.1109/TITS.2020.3006176
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Cellular vehicle-to-everything (V2X) communication is expected to herald the age of autonomous vehicles in the coming years. With the integration of blockchain in such networks, information of all granularity levels, from complete blocks to individual transactions, would be accessible to vehicles at any time. Specifically, the blockchain technology is expected to improve the security, immutability, and decentralization of cellular V2X communication through smart contract and distributed ledgers. Although blockchain-based cellular V2X networks hold promise, many challenges need to be addressed to enable the future interoperability and accessibility of such large-scale platforms. One such challenge is the offloading of mining tasks in cellular V2X networks. While transportation authorities may try to balance the network mining load, the vehicles may select the nearest mining clusters to offload a task. This may cause congestion and disproportionate use of vehicular network resources. To address this issue, we propose a game-theoretic approach for balancing the load at mining clusters while maintaining fairness among offloading vehicles. Keeping in mind the low-latency requirements of vehicles, we consider a finite channel blocklength transmission which is more practical compared to the use of infinite blocklength codes. The simulation results obtained with our proposed offloading framework show improved performance over the conventional nearest mining cluster selection technique.
引用
收藏
页码:4064 / 4072
页数:9
相关论文
共 40 条
[1]   Integrating Blockchain and IoT/ITS for Safer Roads [J].
Abu Ali, Najah ;
Taha, Abd-Elhamid M. ;
Barka, Ezedin .
IEEE NETWORK, 2020, 34 (01) :32-37
[2]  
[Anonymous], 2017, GLOBECOM 2017 2017 I
[3]   A Secure and Efficient Blockchain-Based Data Trading Approach for Internet of Vehicles [J].
Chen, Chuan ;
Wu, Jiajing ;
Lin, Hui ;
Chen, Wuhui ;
Zheng, Zibin .
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2019, 68 (09) :9110-9121
[4]  
De Maio V, 2019, INT CONF UTIL CLOUD, P177, DOI 10.1145/3344341.3368797
[5]  
Devroye N, 2010, COGNITIVE RADIO COMMUNICATIONS AND NETWORKS: PRINCIPLES AND PRACTICE, P307, DOI 10.1016/B978-0-12-374715-0.00011-3
[6]   On the performance of non-orthogonal multiple access in the finite blocklength regime [J].
Dosti, Endrit ;
Shehab, Mohammad ;
Alves, Hirley ;
Latva-aho, Matti .
AD HOC NETWORKS, 2019, 84 :148-157
[7]  
Guha S., 2016, Ph.D. Thesis
[8]   Autonomous Cars: Research Results, Issues, and Future Challenges [J].
Hussain, Rasheed ;
Zeadally, Sherali .
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS, 2019, 21 (02) :1275-1313
[9]  
Jameel F., 2020, Convergence of Artificial Intelligence and the Internet of Things, P299
[10]   Impact of co-channel interference on the performance of VANETs under α - μ fading [J].
Jameel, Furcian ;
Hamid, Zara ;
Jabeen, Farhana ;
Javed, Muhammad Awais .
AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS, 2018, 83 :263-269