Edge intelligence: Empowering intelligence to the edge of network

D Xu, T Li, Y Li, X Su, S Tarkoma, T Jiang… - Proceedings of the …, 2021 - ieeexplore.ieee.org
Edge intelligence refers to a set of connected systems and devices for data collection,
caching, processing, and analysis proximity to where data are captured based on artificial …

Multiagent deep reinforcement learning for vehicular computation offloading in IoT

X Zhu, Y Luo, A Liu, MZA Bhuiyan… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
The development of the Internet of Things (IoT) and intelligent vehicles brings a comfortable
environment for users. Various emerging vehicular applications using artificial intelligence …

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 …

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 …

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) …

A parallel joint optimized relay selection protocol for wake-up radio enabled WSNs

C Huang, G Huang, W Liu, R Wang, M Xie - Physical Communication, 2021 - Elsevier
Conflicts in the data transmission lead to a serious waste of energy, so it is pivotal to design
a parallel and less conflict communication protocol for sensing nodes with limited energy. In …

A low-cost physical location discovery scheme for large-scale Internet of Things in smart city through joint use of vehicles and UAVs

H Teng, M Dong, Y Liu, W Tian, X Liu - Future generation computer systems, 2021 - Elsevier
With the development of Information and Communication Technology (ICT), the construction
of the smart city came into being. Compared with the traditional city, a smart city can reduce …

[HTML][HTML] Adaptive offloading in mobile-edge computing for ultra-dense cellular networks based on genetic algorithm

Z Liao, J Peng, B Xiong… - Journal of …, 2021 - journalofcloudcomputing …
With the combination of Mobile Edge Computing (MEC) and the next generation cellular
networks, computation requests from end devices can be offloaded promptly and accurately …

A new preventive routing method based on clustering and location prediction in the mobile internet of things

M Sadrishojaei, NJ Navimipour… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
In the world of the Internet of Things (IoT), wireless sensor networks (WSNs) are an
impressive technology. These networks are extremely resource constrained and require the …

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 …