An Efficient Collaboration and Incentive Mechanism for Internet of Vehicles (IoV) With Secured Information Exchange Based on Blockchains

被引:91
作者
Yin, Bo [1 ]
Wu, Yulei [2 ]
Hu, Tianshi [3 ]
Dong, Jiaqing [1 ]
Jiang, Zexun [1 ]
机构
[1] Tsinghua Univ, Res Inst Informat Technol, Beijing 100084, Peoples R China
[2] Univ Exeter, Coll Engn Math & Phys Sci, Exeter EX4 4QF, Devon, England
[3] Beijing Univ Posts & Telecommun, Int Sch, Beijing 100876, Peoples R China
基金
中国国家自然科学基金;
关键词
Task analysis; Sensors; Blockchain; Internet of Things; Collaboration; Information exchange; Mobile handsets; incentive mechanism; Internet of Things (IoT); Internet of Vehicles (IoV); mobile crowdsensing (MCS); MOBILE; NETWORK;
D O I
10.1109/JIOT.2019.2949088
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
With the rapid development of Internet of Things (IoT), mobile crowdsensing (MCS), i.e., outsourcing sensing tasks to mobile devices or vehicles, has been proposed to address the problem of data collection in the scenarios such as smart city. Despite its benefits for a wide range of applications, MCS lacks an efficient incentive mechanism, restricting the development of IoT applications, especially for Internet of Vehicles (IoV)-a typical example of IoT applications; this is because vehicles are usually reluctant to participate these sensing tasks. Moreover, in practice, some sensing tasks may arrive suddenly (called an emergent task) in the IoV environment, but the resources of a single vehicle may be insufficient to handle, and thus multivehicles collaboration is required. In this case, the incentive mechanisms for the participation of multiple vehicles and the task scheduling for their collaborations are collectively needed. To address this important problem, we first propose a new model for the scenario of two vehicles collaboration, considering the situation of the emergent appearance of a task. In this model, for a general sensing task, we propose a bidding mechanism to better encourage vehicles to contribute their resources, and the tasks for those vehicles are scheduled accordingly. Second, for an emergent task, a novel time-window-based method is devised to manage the tasks among vehicles and to incent the vehicles to participate. Finally, we develop a blockchain framework to achieve the secured information exchange through smart contract for the proposed models in IoV.
引用
收藏
页码:1582 / 1593
页数:12
相关论文
共 46 条
[1]  
Alam M, 2015, IEEE VEHIC NETW CONF, P143, DOI 10.1109/VNC.2015.7385561
[2]   Mobile Crowd Sensing for Internet of Things: A Credible Crowdsourcing Model in Mobile-sense Service [J].
An, Jian ;
Gui, Xiaolin ;
Yang, Jianwei ;
Sun, Yu ;
He, Xin .
2015 1ST IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA BIG DATA (BIGMM), 2015, :92-99
[3]  
[Anonymous], 2019, TOP 10 STRATEGIC TEC
[4]  
[Anonymous], IEEE T COMPUT SOCIAL
[5]   3-D Deployment Optimization for Heterogeneous Wireless Directional Sensor Networks on Smart City [J].
Cao, Bin ;
Zhao, Jianwei ;
Yang, Po ;
Yang, Peng ;
Liu, Xin ;
Zhang, Yuan .
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2019, 15 (03) :1798-1808
[6]   Differential Evolution-Based 3-D Directional Wireless Sensor Network Deployment Optimization [J].
Cao, Bin ;
Kang, Xinyuan ;
Zhao, Jianwei ;
Yang, Po ;
Lv, Zhihan ;
Liu, Xin .
IEEE INTERNET OF THINGS JOURNAL, 2018, 5 (05) :3594-3605
[7]  
Capponi A, 2016, INT CONF CLOUD COMP, P456, DOI [10.1109/CloudCom.2016.74, 10.1109/CloudCom.2016.0077]
[8]  
Chamarajnagar R, 2018, IEEE GLOB COMM CONF
[9]   Privacy Preserving and Cost Optimal Mobile Crowdsensing using Smart Contracts on Blockchain [J].
Chatzopoulos, Dimitris ;
Gujar, Sujit ;
Faltings, Boi ;
Hui, Pan .
2018 IEEE 15TH INTERNATIONAL CONFERENCE ON MOBILE AD HOC AND SENSOR SYSTEMS (MASS), 2018, :442-450
[10]   Designing Incentive Mechanisms for Mobile Crowdsensing with Intermediaries [J].
Chen, Yatong ;
Chen, Huangxun ;
Yang, Shuo ;
Gao, Xiaofeng ;
Guo, Yunhe ;
Wu, Fan .
WIRELESS COMMUNICATIONS & MOBILE COMPUTING, 2019, 2019