Vehicle-based relay assistance for opportunistic crowdsensing over narrowband IoT (NB-IoT)

V Petrov, A Samuylov, V Begishev… - IEEE Internet of …, 2017 - ieeexplore.ieee.org
The Internet of Things (IoT) undergoes a fundamental transformation by augmenting its
conventional sensor network deployments with more advanced and mobile devices, such as …

A city-wide real-time traffic management system: Enabling crowdsensing in social Internet of vehicles

X Wang, Z Ning, X Hu, ECH Ngai… - IEEE …, 2018 - ieeexplore.ieee.org
As an emerging platform based on ITS, SIoV is promising for applications of traffic
management and road safety in smart cities. However, the endto-end delay is large in store …

Secure crowdsensing in 5G internet of vehicles: When deep reinforcement learning meets blockchain

S Wang, S Sun, X Wang, Z Ning… - IEEE Consumer …, 2020 - ieeexplore.ieee.org
Vehicular crowdsensing has been widely leveraged in the intelligent transportation systems
to collect real-time traffic data. However, the data security and privacy preservation issues …

Chimera: An Energy-Efficient and Deadline-Aware Hybrid Edge Computing Framework for Vehicular Crowdsensing Applications

L Pu, X Chen, G Mao, Q Xie, J Xu - IEEE Internet of Things …, 2018 - ieeexplore.ieee.org
In this paper, we propose Chimera, a novel hybrid edge computing framework, integrated
with the emerging edge cloud radio access network, to augment network-wide vehicle …

Intelligent context-aware communication paradigm design for IoVs based on data analytics

F Lyu, N Cheng, H Zhu, H Zhou, W Xu, M Li… - IEEE …, 2018 - ieeexplore.ieee.org
IoVs have been envisioned to improve road safety and efficiency, and provide Internet
access on the move, by providing a myriad of safety and infotainment applications to drivers …

Distributed sensing using smart end-user devices: Pathway to federated learning for autonomous IoT

A Imteaj, MH Amini - 2019 International conference on …, 2019 - ieeexplore.ieee.org
There is a dearth of research in developing low-cost solutions for distributed decision
making in IoT networks. Most studies in the literature require the deployment of additional …

Energy-efficient location and activity-aware on-demand mobile distributed sensing platform for sensing as a service in IoT clouds

C Perera, DS Talagala, CH Liu… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
The Internet of Things (IoT) envisions billions of sensors deployed around us and connected
to the Internet, where the mobile crowd sensing technologies are widely used to collect data …

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

L Liu, X Wen, L Wang, Z Lu, W Jing… - 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 …

Joint sensing, communication, and computation in mobile crowdsensing enabled edge networks

X Li, G Feng, Y Liu, S Qin… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Mobile crowdsensing (MCS) is a promising paradigm where sensor-embedded mobile
devices are exploited for collecting and sharing environmental data. In MCS, the …

[引用][C] Crowdsensing intelligence: Advancing trustworthy, intelligent, interactive, and cooperative sensing and computing for transportation 5.0

FY Wang, B Chen - IEEE Transactions on Intelligent Vehicles, 2023 - ieeexplore.ieee.org
Crowdsensing Intelligence: Advancing Trustworthy, Intelligent, Interactive, and Cooperative
Sensing and Computing for Transporta Page 1 1 IEEE TRANSACTIONS ON INTELLIGENT …