An intelligent collaboration trust interconnections system for mobile information control in ubiquitous 5G networks
The heterogeneous networks which collaborate among Space, Air, Ground, and Sea
(SAGS) networks significantly promote the development of the Internet of Things (IoT) …
(SAGS) networks significantly promote the development of the Internet of Things (IoT) …
A deep learning-based mobile crowdsensing scheme by predicting vehicle mobility
X Zhu, Y Luo, A Liu, W Tang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Mobile crowdsensing is an emerging paradigm that selects users to complete sensing tasks.
Recently, mobile vehicles are adopted to perform sensing data collection tasks in the urban …
Recently, mobile vehicles are adopted to perform sensing data collection tasks in the urban …
An UAV-enabled intelligent connected transportation system with 6G communications for internet of vehicles
6G networks provide faster communication for connected vehicles. These vehicles are
connected to the Internet, forming the Internet of Vehicles (IoV). Due to the development of …
connected to the Internet, forming the Internet of Vehicles (IoV). Due to the development of …
Resource allocation and trajectory optimization for QoE provisioning in energy-efficient UAV-enabled wireless networks
In the past several years, unmanned aerial vehicle (UAV) have been employed to provide
enhanced coverage or relay service to mobile users in a scenario with limited or even no …
enhanced coverage or relay service to mobile users in a scenario with limited or even no …
A privacy-protected intelligent crowdsourcing application of IoT based on the reinforcement learning
The crowdsourcing scheme emerges as a promising solution for data-based application in
the Internet of Things (IoT) network by dividing the large-scale complex sensing tasks into …
the Internet of Things (IoT) network by dividing the large-scale complex sensing tasks into …
Blockchain-based solutions for mobile crowdsensing: A comprehensive survey
Mobile crowdsensing (MCS) is an emerging data-driven paradigm that leverages the
collective intelligence of the crowd, their mobility, and the crowd-companioned smart mobile …
collective intelligence of the crowd, their mobility, and the crowd-companioned smart mobile …
Q-Learning-Based Hyperheuristic Evolutionary Algorithm for Dynamic Task Allocation of Crowdsensing
JJ Ji, YN Guo, XZ Gao, DW Gong… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Task allocation is a crucial issue of mobile crowdsensing. The existing crowdsensing
systems normally select the optimal participants giving no consideration to the sudden …
systems normally select the optimal participants giving no consideration to the sudden …
An effective service-oriented networking management architecture for 5G-enabled internet of things
The development of a 5G-enabled Internet of Things has led to a dramatic increase in
network traffic load, which has presented tremendous challenges to network management …
network traffic load, which has presented tremendous challenges to network management …
When Crowdsensing Meets Smart Cities: A Comprehensive Survey and New Perspectives
Crowdsensing has received widespread attention in recent years. It is extensively employed
in smart cities and intelligent transportation systems. This paper comprehensively surveys …
in smart cities and intelligent transportation systems. This paper comprehensively surveys …
ATTDC: An active and traceable trust data collection scheme for industrial security in smart cities
M Shen, A Liu, G Huang, NN **ong… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
With billions of sensing devices are deployed in smart cities to monitor regions of interests
and collect large sensing data, the Internet-of-Things (IoT) applications are being widely …
and collect large sensing data, the Internet-of-Things (IoT) applications are being widely …