Cognitive computing and wireless communications on the edge for healthcare service robots

S Wan, Z Gu, Q Ni - Computer Communications, 2020 - Elsevier
In recent years, we have witnessed dramatic developments of mobile healthcare robots,
which enjoy many advantages over their human counterparts. Previous communication …

RF energy harvesting and transfer in cognitive radio sensor networks: Opportunities and challenges

J Ren, J Hu, D Zhang, H Guo, Y Zhang… - IEEE Communications …, 2018 - ieeexplore.ieee.org
By enabling sensor nodes to opportunistically access licensed channels, CRSN can provide
a spectrum-efficient networking solution in the era of the Internet of Things. On the other …

Intelligent delay-aware partial computing task offloading for multiuser industrial internet of things through edge computing

X Deng, J Yin, P Guan, NN Xiong… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
The development of Industrial Internet of Things (IIoT) and Industry 4.0 has completely
changed the traditional manufacturing industry. Intelligent IIoT technology usually involves a …

Learning-based privacy-aware offloading for healthcare IoT with energy harvesting

M Min, X Wan, L Xiao, Y Chen, M Xia… - IEEE Internet of …, 2018 - ieeexplore.ieee.org
Mobile edge computing helps healthcare Internet of Things (IoT) devices with energy
harvesting provide satisfactory quality of experiences for computation intensive applications …

Deep learning-inspired message passing algorithm for efficient resource allocation in cognitive radio networks

M Liu, T Song, J Hu, J Yang… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Energy efficiency (EE) and spectrum efficiency (SE) have received significant attentions on
optimizing the network performance in cognitive radio networks. In this paper, an EE+ SE …

[HTML][HTML] A trusted routing scheme using blockchain and reinforcement learning for wireless sensor networks

J Yang, S He, Y Xu, L Chen, J Ren - Sensors, 2019 - mdpi.com
A trusted routing scheme is very important to ensure the routing security and efficiency of
wireless sensor networks (WSNs). There are a lot of studies on improving the …

Fog-based computing and storage offloading for data synchronization in IoT

T Wang, J Zhou, A Liu, MZA Bhuiyan… - IEEE Internet of …, 2018 - ieeexplore.ieee.org
With the development of Internet of Things (IoT) technologies, increasingly many devices are
connected, and large amounts of data are produced. By offloading the computing-intensive …

FEMTO: Fair and energy-minimized task offloading for fog-enabled IoT networks

G Zhang, F Shen, Z Liu, Y Yang… - IEEE Internet of …, 2018 - ieeexplore.ieee.org
Future Internet of Things (IoT) networks enabled with fog computing is promising to achieve
lower processing delay and lighter link burden, by effectively offloading the computing tasks …

Near-optimal and truthful online auction for computation offloading in green edge-computing systems

D Zhang, L Tan, J Ren, MK Awad… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
Utilizing the intelligence at the network edge, edge computing paradigm emerges to provide
time-sensitive computing services for Internet of Things. In this paper, we investigate …

Distributed and efficient object detection in edge computing: Challenges and solutions

J Ren, Y Guo, D Zhang, Q Liu, Y Zhang - IEEE Network, 2018 - ieeexplore.ieee.org
In the past decade, it was a significant trend for surveillance applications to send huge
amounts of real-time media data to the cloud via dedicated high-speed fiber networks …