An intelligent collaboration trust interconnections system for mobile information control in ubiquitous 5G networks

S Huang, Z Zeng, K Ota, M Dong… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
The heterogeneous networks which collaborate among Space, Air, Ground, and Sea
(SAGS) networks significantly promote the development of the Internet of Things (IoT) …

An UAV-enabled intelligent connected transportation system with 6G communications for internet of vehicles

R Liu, A Liu, Z Qu, NN Xiong - IEEE Transactions on Intelligent …, 2021 - ieeexplore.ieee.org
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 …

A privacy-protected intelligent crowdsourcing application of IoT based on the reinforcement learning

Y Ren, W Liu, A Liu, T Wang, A Li - Future generation computer systems, 2022 - Elsevier
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 …

Dynamic bargain game theory in the internet of things for data trustworthiness

AC Sumathi, M Akila, R Pérez de Prado, M Wozniak… - Sensors, 2021 - mdpi.com
Smart home and smart building systems based on the Internet of Things (IoT) in smart cities
currently suffer from security issues. In particular, data trustworthiness and efficiency are two …

Deep reinforcement learning for computation offloading in mobile edge computing environment

M Chen, T Wang, S Zhang, A Liu - Computer Communications, 2021 - Elsevier
Recently, in order to distribute computing, networking resources, services, near terminals,
mobile fog is gradually becoming the mobile edge computing (MEC) paradigm. In a mobile …

STMTO: A smart and trust multi-UAV task offloading system

J Guo, G Huang, Q Li, NN Xiong, S Zhang, T Wang - Information Sciences, 2021 - Elsevier
As one of promising distributed multi-robot system, Unmanned Aerial Vehicles (UAVs) can
collaborate to offload complex tasks in edge networks. A Smart and Trust Multi-UAV Task …

An intelligent game-based offloading scheme for maximizing benefits of IoT-edge-cloud ecosystems

M Yu, A Liu, NN Xiong, T Wang - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
Nowadays, with the explosive growth of sensor-based devices connected to Internet of
Things (IoT), massive amount of data are generated every day with potential tremendous …

DLFTI: A deep learning based fast truth inference mechanism for distributed spatiotemporal data in mobile crowd sensing

J Tang, K Fan, P Yin, Z Qu, A Liu, NN Xiong, T Wang… - Information …, 2023 - Elsevier
Abstract The paradigm of Mobile Crowd Sensing (MCS) allows for numerous applications
with distributed spatiotemporal data, where great attention is drawn to the fundamental …

DRLR: A deep-reinforcement-learning-based recruitment scheme for massive data collections in 6G-based IoT networks

T Li, W Liu, Z Zeng, NN Xiong - IEEE Internet of Things journal, 2021 - ieeexplore.ieee.org
Recently, rapid deployment on the fifth-generation (5G) networks has brought great
opportunities for enabling data-intensive applications and brings an extending expectation …

SCTD: A spatiotemporal correlation truth discovery scheme for security management of data platform

W Mo, Z Li, Z Zeng, NN Xiong, S Zhang, A Liu - Future generation computer …, 2023 - Elsevier
The continuous development of mobile sensing devices enables them to quickly perceive a
large amount of data, forming a promising mobile crowd sensing (MCS) platform for large …