Robotic applications nowadays are widely adopted to enhance operational automation and performance of real-world Cyber-Physical Systems (CPSs) including Industry 4.0 …
Q Yuan, J Li, H Zhou, T Lin, G Luo… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The vehicular edge computing is considered an enabling technology for intelligent and connected vehicles since the optimization of communication and computing on edge has a …
LY Hao, H Zhang, TS Li, B Lin… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
This paper proposes a novel fault tolerant control strategy for dynamic positioning of unmanned marine vehicles using the quantized feedback sliding mode control technique …
W Zhan, C Luo, G Min, C Wang, Q Zhu… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Mobile Edge Computing (MEC) is a new computing paradigm with great potential to enhance the performance of user equipment (UE) by offloading resource-hungry …
Edge computing is a (r) evolutionary extension of traditional cloud computing. It expands central cloud infrastructure with execution environments close to the users in terms of …
Multi-access edge computing (MEC) has already shown great potential in enabling mobile devices to bear the computation-intensive applications by offloading some computing jobs to …
The growing network density and unprecedented increase in network traffic, caused by the massively expanding number of connected devices and online services, require intelligent …
Wireless Powered Mobile Edge Computing (WPMEC) is an integration of Mobile Edge Computing (MEC) and Wireless Power Transfer (WPT) technologies, to both improve …
Distributed machine learning (DML) techniques, such as federated learning, partitioned learning, and distributed reinforcement learning, have been increasingly applied to wireless …