Crowdsensing Intelligence by Decentralized Autonomous Vehicles Organizations and Operations

被引：35

作者：

Zhu, Zhengqiu ^{[1
,2
]}

Wang, Xiao ^{[3
]}

Zhao, Yong ^{[1
,2
]}

Qiu, Sihang ^{[1
,2
]}

Liu, Zhong ^{[1
,2
]}

Chen, Bin ^{[1
,2
]}

Wang, Fei-Yue ^{[4
]}

机构：

[1] Natl Univ Def Technol, Coll Syst Engn, Changsha 410073, Peoples R China

[2] Hunan Inst Adv Technol, Changsha 410073, Peoples R China

[3] Anhui Univ China, Sch Artificial intelligence, Hefei 230039, Peoples R China

[4] Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China

来源：

IEEE TRANSACTIONS ON INTELLIGENT VEHICLES | 2022年 / 7卷 / 04期

基金：

中国国家自然科学基金;

关键词：

Blockchains; Autonomous vehicles; Smart contracts; Privacy; Crowdsensing; Security; Data privacy; Connected vehicles; Connected and autonomous vehicles; vehicular crowdsensing; blockchain technology; FRAMEWORK;

D O I：

10.1109/TIV.2022.3224918

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

With the rapid growth of connected and autonomous vehicles (CAVs), vehicular crowdsensing (VCS) has emerged as an effective way in a wide range of applications, especially in intelligent transportation systems. However, centralized VCS frameworks have confronted many problems, such as privacy, security, utility, and dependability. To remedy these challenges, blockchain technology can be applied in VCS systems for effectively forming decentralized autonomous vehicles organizations and operations. This article briefly introduces blockchain-based VCS solutions addressing the current problems and presents potential directions for future research.

引用

页码：804 / 808

页数：5

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