Intelligent delay-aware partial computing task offloading for multiuser 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 …
Task allocation algorithm and optimization model on edge collaboration
This paper investigates a mobile edge computing environment for video analysis tasks
where edge nodes provide their computation capacities to process the computation …
where edge nodes provide their computation capacities to process the computation …
An intelligent resource allocation scheme in energy harvesting cognitive wireless sensor networks
The energy harvesting cognitive wireless sensor network (EHCWSN) introduces energy
harvesting technology and cognitive radio technology into the traditional wireless sensor …
harvesting technology and cognitive radio technology into the traditional wireless sensor …
Heterogeneous edge offloading with incomplete information: A minority game approach
Task offloading is one of key operations in edge computing, which is essential for reducing
the latency of task processing and boosting the capacity of end devices. However, the …
the latency of task processing and boosting the capacity of end devices. However, the …
QoE-driven computation offloading for edge computing
We investigate a quality of experience (QoE) based computation offloading scheduling
problem for Edge Computing, in which data processing and decision making are placed at …
problem for Edge Computing, in which data processing and decision making are placed at …
[HTML][HTML] Dynamic resource provisioning for cyber-physical systems in cloud-fog-edge computing
Z Xu, Y Zhang, H Li, W Yang, Q Qi - Journal of Cloud Computing, 2020 - Springer
Abstract Cyber-Physical Systems (CPS) serves as an interdisciplinary effort that incorporates
cyber vector as well as physical vector. The latter can generate exponentially growing …
cyber vector as well as physical vector. The latter can generate exponentially growing …
Task assignment for hybrid scenarios in spatial crowdsourcing: A Q-Learning-based approach
M Wang, Y Wang, AMVV Sai, Z Liu, Y Gao, X Tong… - Applied Soft …, 2022 - Elsevier
With the increasing popularity of smart devices and spatio-temporal crowdsourcing, a new
data gathering and perception approach combined with edge computing have made …
data gathering and perception approach combined with edge computing have made …
[HTML][HTML] Improving energy efficiency of multimedia content dissemination by adaptive clustering and D2D multicast
L Yin, J Gui, Z Zeng - Mobile Information Systems, 2019 - hindawi.com
While achieving desired performance, there exist still many challenges in current cellular
networks to support the multimedia content dissemination services. The conventional …
networks to support the multimedia content dissemination services. The conventional …
A class of quadratic polynomial chaotic maps and its application in cryptography
S Zhu, C Zhu, H Cui, W Wang - IEEE Access, 2019 - ieeexplore.ieee.org
At present, the probability density of most chaotic systems is unknown, and the statistical
characteristics of chaotic sequences cannot be described by the probability density of …
characteristics of chaotic sequences cannot be described by the probability density of …
Privacy-aware data offloading for mobile devices in edge computing
To fulfill peoples requirements for low latency and strong computing power in mobile
devices, edge computing emerges as a paradigm for realizing service provisioning in the …
devices, edge computing emerges as a paradigm for realizing service provisioning in the …