Vehicular communication network enabled CAV data offloading: A review

M Ahmed, MA Mirza, S Raza, H Ahmad… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
The connected and autonomous vehicles (CAV) applications and services-based traffic
make an extra burden on the already congested cellular networks. Offloading is envisioned …

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 …

SQCS: A sustainable quality control system for spatial crowdsourcing via three-party evolutionary game: Theory and practice

H Wang, W Liu, A Liu, T Wang, H Song… - Expert Systems with …, 2024 - Elsevier
Quality control of sensing data poses a fundamental challenge in Spatial Crowdsourcing
(SC) applications, and various incentive mechanisms have been proposed to effectively …

Augmented intelligence of things for emergency vehicle secure trajectory prediction and task offloading

X Wu, J Dong, W Bao, B Zou, L Wang… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
Augmented Intelligence of Things (AIoT) combines augmented intelligence algorithms with
the massive data collected by IoT devices, enabling more advanced decision-making. The …

Server-initiated federated unlearning to eliminate impacts of low-quality data

P Wang, W Song, H Qi, C Zhou, F Li… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Federated unlearning (FUL) is an emerging distributed machine learning paradigm which
enables the removal or unlearning of specific training data effects from trained Federated …

A2E2: Aerial-assisted energy-efficient edge sensing in intelligent public transportation systems

P Wang, Z Yan, G Han, H Yang, Y Zhao, C Lin… - Journal of systems …, 2022 - Elsevier
Emerging intelligent public transportation systems (IPTS) enable various smart services by
collecting sensing data leveraging public transportation. However, existing researches …

A comprehensive survey on communication techniques for the realization of intelligent transportation systems in IoT based smart cities

Y Rajkumar, SVN Santhosh Kumar - Peer-to-Peer Networking and …, 2024 - Springer
Traffic has been on the rise since the past decade that pose threats to driving safety and
traffic efficiency. Intelligent Transportation System (ITS) evolved as an alternative solution to …

Hierarchical quantum information splitting of an arbitrary two-qubit state based on a decision tree

D Li, Y Zheng, X Liu, J Zhou, Y Tan, X Yang, M Liu - Mathematics, 2022 - mdpi.com
Quantum informatics is a new subject formed by the intersection of quantum mechanics and
informatics. Quantum communication is a new way to transmit quantum states through …

[PDF][PDF] Air-ground integrated low ground integrated low-energy federated learning for secure federated learning for secure 6g communications

P WANG, W SONG, G SUN, Z WEI, Q ZHANG - ZTE COMMUNICATIONS, 2022 - zte.com.cn
Federated learning (FL) is a distributed machine learning approach that could provide
secure 6G communications to preserve user privacy. In 6G communications, unmanned …

Human-UAV Collaborative Task Scheduling for 360° Video Generating in Intelligent Transportation

Z Yuan, H Tang, P Wang, Z Yan, D Zhou… - … on Virtual Reality …, 2022 - ieeexplore.ieee.org
With the rapid development of virtual reality technology, 360° video has been widely
adopted in intelligent transportation, eg, traffic monitoring, virtual driving, etc. Therefore, it is …