When crowdsensing meets smart cities: A comprehensive survey and new perspectives

Z Wang, Y Cao, K Jiang, H Zhou, J Kang… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
Crowdsensing has received widespread attention in recent years. It is extensively employed
in smart cities and intelligent transportation systems. This paper comprehensively surveys …

Social-aware incentive mechanism for vehicular crowdsensing by deep reinforcement learning

Y Zhao, CH Liu - IEEE Transactions on Intelligent …, 2020 - ieeexplore.ieee.org
Vehicular crowdsensing (VCS) takes the advantage of vehicles' mobility and exploits both
the crowd wisdom and sensing abilities offered by vehicle drivers' carried smart mobile …

BCC: Blockchain-based collaborative crowdsensing in autonomous vehicular networks

Y Hui, Y Huang, Z Su, TH Luan… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
The vehicular crowdsensing, which benefits from edge computing devices (ECDs)
distributedly selecting autonomous vehicles (AVs) to complete the sensing tasks and …

Towards ensuring the reliability and dependability of vehicular crowd-sensing data in GPS-less location tracking

A Boukerche, B Kantarci, C Kaptan - Pervasive and Mobile Computing, 2020 - Elsevier
This paper presents a participatory framework to improve the reliability of sensor emulation
by using non-dedicated and crowdsourced sensory data to cover several dedicated sensors …

PRVB: Achieving privacy-preserving and reliable vehicular crowdsensing via blockchain oracle

C Zhang, L Zhu, C Xu, K Sharif - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Vehicular crowdsensing is attracting more and more attention because of its wide sensing
coverage and diverse usage in smart cities. However, privacy issues that stem from …

Multi-task-oriented vehicular crowdsensing: A deep learning approach

CH Liu, Z Dai, H Yang, J Tang - IEEE INFOCOM 2020-IEEE …, 2020 - ieeexplore.ieee.org
With the popularity of drones and driverless cars, vehicular crowdsensing (VCS) becomes
increasingly widely-used by taking advantage of their high-precision sensors and durability …

Dynamic user recruitment in edge-aided mobile crowdsensing

Y Zhang, P Li, T Zhang, J Liu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Most of the existing user recruitment methods are designed for the two-tier structure.
However, the computational consumption of the cloud platform rises rapidly as data volumes …

Cost-and-quality aware data collection for edge-assisted vehicular crowdsensing

L Liu, L Wang, Z Lu, Y Liu, W **g… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In view of the rapid development of edge computing and vehicular network, edge-assisted
vehicular crowdsensing system has brought significant benefits to Intelligent Transportation …

Toward incentivizing fog-based privacy-preserving mobile crowdsensing in the Internet of Vehicles

G Sun, S Sun, H Yu, M Guizani - IEEE Internet of Things …, 2019 - ieeexplore.ieee.org
In the face of a massive number of vehicular users, a data collection paradigm based on
vehicular crowdsensing requires an effective means of attracting participants. Thus, the …

Incentive-aware recruitment of intelligent vehicles for edge-assisted mobile crowdsensing

L Liu, X Wen, L Wang, Z Lu, W **g… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Edge-assisted mobile crowdsensing is an emerging paradigm where mobile users collect,
and share sensing data at the edge of networks. With the abundant on-board resources, and …