BSIS: Blockchain-Based Secure Incentive Scheme for Energy Delivery in Vehicular Energy Network

被引:163
作者
Wang, Yuntao [1 ]
Su, Zhou [1 ,2 ]
Zhang, Ning [3 ]
机构
[1] Xi An Jiao Tong Univ, Sch Elect & Informat Engn, MOE KLINNS Lab, Xian 710049, Shaanxi, Peoples R China
[2] Shanghai Univ, Sch Mechatron Engn & Automat, Shanghai 200444, Peoples R China
[3] Texas A&M Univ Corpus Christi, Dept Comp Sci, Corpus Christi, TX 78412 USA
关键词
Blockchain; electric vehicles (EVs); proof of reputation (PoR); vehicular energy network (VEN); wireless power transfer; MANAGEMENT; COMMUNICATION; INTERNET; CLOUD;
D O I
10.1109/TII.2019.2908497
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Vehicular energy network (VEN), as an important part of the Internet of Things for the smart city, can facilitate the renewable energy (RE) transportation over a large geographical area by means of electric vehicles (EVs) through wireless power transfer technology. However, due to the potential security vulnerability in VEN, EV users can be attacked by external or internal adversaries. In addition, owing to the selfishness of EVs, it is a great challenge to optimally schedule the charging/discharging behaviors of EVs to realize regional energy balance in VEN. To tackle the above issues, this paper proposes a blockchain-based secure incentive scheme for energy delivery in VEN. First, a novel permissioned energy blockchain system is introduced in VEN to implement secure energy delivery services for EVs and energy nodes through the use of distributed ledgers and cryptocurrency. Second, a proof of reputation consensus protocol is proposed to efficiently reach consensus in energy blockchain, where the reputation derivation is constructed based on the local trust computing and credibility computing. Third, motivated by the pricing mechanism, an incentive model is developed to stimulate EVs to cooperatively deliver RE to various areas with different electricity loads while maximizing EVs' utilities. Finally, extensive numerical results are provided, which demonstrate the efficiency of the proposed scheme through the comparison with conventional schemes.
引用
收藏
页码:3620 / 3631
页数:12
相关论文
共 57 条
[1]   Impersonation Detection in Line-of-Sight Underwater Acoustic Sensor Networks [J].
Aman, Waqas ;
Rahman, Muhammad Mahboob Ur ;
Qadir, Junaid ;
Pervaiz, Haris ;
Ni, Qiang .
IEEE ACCESS, 2018, 6 :44459-44472
[2]   ENERGY HARVESTING IN VEHICULAR NETWORKS: A CONTEMPORARY SURVEY [J].
Atallah, Ribal ;
Khabbaz, Maurice ;
Assi, Chadi .
IEEE WIRELESS COMMUNICATIONS, 2016, 23 (02) :70-77
[3]   Dynamic Charging Optimization for Mobile Charging Stations in Internet of Things [J].
Chen, Huwei ;
Su, Zhou ;
Hui, Yilong ;
Hui, Hui .
IEEE ACCESS, 2018, 6 :53509-53520
[4]   Narrowband Internet of Things: Implementations and Applications [J].
Chen, Jiming ;
Hu, Kang ;
Wang, Qi ;
Sun, Yuyi ;
Shi, Zhiguo ;
He, Shibo .
IEEE INTERNET OF THINGS JOURNAL, 2017, 4 (06) :2309-2314
[5]   A Survey on Security and Privacy Issues of Bitcoin [J].
Conti, Mauro ;
Kumar, E. Sandeep ;
Lal, Chhagan ;
Ruj, Sushmita .
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS, 2018, 20 (04) :3416-3452
[6]   A Survey of Wireless Power Transfer and a Critical Comparison of Inductive and Capacitive Coupling for Small Gap Applications [J].
Dai, Jiejian ;
Ludois, Daniel C. .
IEEE TRANSACTIONS ON POWER ELECTRONICS, 2015, 30 (11) :6017-6029
[7]   SecuredTrust: A Dynamic Trust Computation Model for Secured Communication in Multiagent Systems [J].
Das, Anupam ;
Islam, Mohammad Mahfuzul .
IEEE TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTING, 2012, 9 (02) :261-274
[8]   Secure and Efficient Privacy-Preserving Ciphertext Retrieval in Connected Vehicular Cloud Computing [J].
Fan, Kai ;
Wang, Xin ;
Suto, Katsuya ;
Li, Hui ;
Yang, Yintang .
IEEE NETWORK, 2018, 32 (03) :52-57
[9]   A Distributed Demand Response Algorithm and Its Application to PHEV Charging in Smart Grids [J].
Fan, Zhong .
IEEE TRANSACTIONS ON SMART GRID, 2012, 3 (03) :1280-1290
[10]   Wireless charging in California: Range, recharge, and vehicle electrification [J].
Fuller, Micah .
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2016, 67 :343-356