A blockchain-based Fog-oriented lightweight framework for smart public vehicular transportation systems

被引:35
作者
Baker, Thar [1 ]
Asim, Muhammad [2 ]
Samwini, Hezekiah [3 ]
Shamim, Nauman [2 ]
Alani, Mohammed M. [4 ]
Buyya, Rajkumar [5 ]
机构
[1] Univ Sharjah, Coll Comp & Informat, Dept Comp Sci, Sharjah, U Arab Emirates
[2] Natl Univ Comp & Emerging Sci, Islamabad, Pakistan
[3] Edge Hill Univ, Ormskirk, England
[4] Seneca Coll, Toronto, ON, Canada
[5] Univ Melbourne, Sch Comp & Informat Syst, CLOUDS Lab, Melbourne, Vic, Australia
关键词
Blockchain; Vehicular networks; Fog; Federated learning; Vehicular clouds; Beyond 5G technologies; INTERNET; AUTHENTICATION; CHALLENGES; ARCHITECTURE; MANAGEMENT; SECURITY; INDUSTRY; VEHICLE; THINGS; NODES;
D O I
10.1016/j.comnet.2021.108676
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Rapid urbanization is putting a strain on the transport systems of cities worldwide. The effects of this trend include prolonged traffic jams and increasing environmental pollution from rising CO2 emissions. As city planning requires innovative ways of dealing with the rapid urbanization trend, technological solutions were proposed such as cloud computing, smart vehicles, and Vehicular Ad hoc NETwork (VANET). In this paper, we take advantage of next-generation network technologies to propose a responsive and lightweight framework for smart transportation system which employs blockchain for authentication using fog computing's improvement over cloud computing for distributed applications to provide an efficient and secure transportation system. We take into account the future technologies of 5G and Beyond 5G (B5G) and argue that the integration of B5G technologies, federated learning, blockchain, and edge computing provides the perfect platform necessary for a smart transportation system The evaluation of the proposed framework is done by comparing it to the current cloud-based approach in iFogSim, a popular simulation tool for fog computing research. The evaluation of blockchain-based authentication was done using a customized implementation of blockchain executed in an experimental setup. The simulation results showed that the proposed framework provides superior performance in terms of security, latency, and energy consumption of the system.
引用
收藏
页数:18
相关论文
共 64 条
[1]   Integration of blockchain and federated learning for Internet of Things: Recent advances and future challenges [J].
Ali, Mansoor ;
Karimipour, Hadis ;
Tariq, Muhammad .
COMPUTERS & SECURITY, 2021, 108
[2]   Hyperledger Fabric: A Distributed Operating System for Permissioned Blockchains [J].
Androulaki, Elli ;
Barger, Artem ;
Bortnikov, Vita ;
Cachin, Christian ;
Christidis, Konstantinos ;
De Caro, Angelo ;
Enyeart, David ;
Ferris, Christopher ;
Laventman, Gennady ;
Manevich, Yacov ;
Muralidharan, Srinivasan ;
Murthy, Chet ;
Binh Nguyen ;
Sethi, Manish ;
Singh, Gari ;
Smith, Keith ;
Sorniotti, Alessandro ;
Stathakopoulou, Chrysoula ;
Vukolic, Marko ;
Cocco, Sharon Weed ;
Yellick, Jason .
EUROSYS '18: PROCEEDINGS OF THE THIRTEENTH EUROSYS CONFERENCE, 2018,
[3]  
[Anonymous], 2020, World Population Clock: 7.8 Billion People
[4]  
[Anonymous], 2016, WHITE PAPER RES 5G
[5]   A Privacy-Preserving Vehicular Crowdsensing-Based Road Surface Condition Monitoring System Using Fog Computing [J].
Basudan, Sultan ;
Lin, Xiaodong ;
Sankaranarayanan, Karthik .
IEEE INTERNET OF THINGS JOURNAL, 2017, 4 (03) :772-782
[6]  
BBC, 2018, UK MUST TACKL AST CO
[7]   Ten Trends in the Cellular Industry and an Outlook on 6G [J].
Bi, Qi .
IEEE COMMUNICATIONS MAGAZINE, 2019, 57 (12) :31-36
[8]  
Bonawitz Keith, 2019, P MACHINE LEARNING S, P374, DOI 10.48550/arXiv.1902.01046
[9]  
Brennand CARL, 2016, 2016 IEEE SYMPOSIUM ON COMPUTERS AND COMMUNICATION (ISCC), P982, DOI 10.1109/ISCC.2016.7543864
[10]   Federated Learning for UAVs-Enabled Wireless Networks: Use Cases, Challenges, and Open Problems [J].
Brik, Bouziane ;
Ksentini, Adlen ;
Bouaziz, Maha .
IEEE ACCESS, 2020, 8 :53841-53849