A5002068387- IoT and Edge/Fog Computing
- Age of Information Optimization
- IoT Networks and Protocols
- Cloud Data Security Solutions
- Robotics and Automated Systems
- Blockchain Technology Applications and Security
- Big Data and Digital Economy
Qufu Normal University
2022-2024
University of Chinese Academy of Sciences
2018
A homogeneous fog network is defined as a group of peer nodes with sharable computing and storage resources, well spare spectrum for node-to-node/device-to-device communications task scheduling. It promotes more intelligent applications services in different Internet Things (IoT) scenarios, thanks to effective collaborations among neighboring via cognitive access techniques. In this paper, comprehensive analytical model that considers circuit, computation, offloading energy consumptions...
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 tasks terminal nodes (TNs) nearby (FNs) at network edge. Existing researches for energy consumption in fog-enabled mostly focused on minimization overall consumed task services. However, fair among multiple FNs while maintaining a satisfactory efficiency great significance sustainability IoT networks, especially scenarios...
Through offloading the computing tasks of task nodes (TNs) to fog (FNs) located at network edge, is expected address unacceptable processing delay and heavy link burden existed in current cloud-based networks. Unlike most existing researches based on command-mode full capability report, this paper develops a general analytical model scheduling among voluntary (VNs) networks, wherein VNs voluntarily contribute their capabilities for serving neighboring TNs. A novel delay-optimal (DOTS)...
Local and customized services are realized with new type computing architecture by utilizing the spare resources distributed on helper nodes (HNs) throughout network. The heterogeneity of mobile edge fog networks makes them natural to support multitarget tasks, efficient task scheduling is always a fundamental hot issue in multitask multihelper (MTMH) networks. Unlike most researches concentrating optimization single or limited service metrics, this article proposes framework for which more...