Cognitive computing and wireless communications on the edge for healthcare service robots
In recent years, we have witnessed dramatic developments of mobile healthcare robots,
which enjoy many advantages over their human counterparts. Previous communication …
which enjoy many advantages over their human counterparts. Previous communication …
RF energy harvesting and transfer in cognitive radio sensor networks: Opportunities and challenges
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 …
a spectrum-efficient networking solution in the era of the Internet of Things. On the other …
A trusted routing scheme using blockchain and reinforcement learning for wireless sensor networks
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 …
wireless sensor networks (WSNs). There are a lot of studies on improving the …
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 …
optimizing the network performance in cognitive radio networks. In this paper, an EE+ SE …
Learning-based privacy-aware offloading for healthcare IoT with energy harvesting
Mobile edge computing helps healthcare Internet of Things (IoT) devices with energy
harvesting provide satisfactory quality of experiences for computation intensive applications …
harvesting provide satisfactory quality of experiences for computation intensive applications …
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 …
connected, and large amounts of data are produced. By offloading the computing-intensive …
Intelligent delay-aware partial computing task offloading for multi-user industrial Internet of Things through edge computing
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 …
changed the traditional manufacturing industry. Intelligent IIoT technology usually involves a …
Near-optimal and truthful online auction for computation offloading in green edge-computing systems
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 …
time-sensitive computing services for Internet of Things. In this paper, we investigate …
FEMTO: Fair and energy-minimized task offloading for fog-enabled IoT networks
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 …
lower processing delay and lighter link burden, by effectively offloading the computing tasks …
Throughput maximization for hybrid backscatter assisted cognitive wireless powered radio networks
B Lyu, H Guo, Z Yang, G Gui - IEEE Internet of Things Journal, 2018 - ieeexplore.ieee.org
In this paper, we consider a cognitive wireless powered communication network for Internet
of Things applications, which consists of a primary communication pair and a secondary …
of Things applications, which consists of a primary communication pair and a secondary …