A5090285033- IoT and Edge/Fog Computing
- Advanced Wireless Communication Technologies
- IoT Networks and Protocols
- Advanced MIMO Systems Optimization
- Energy Harvesting in Wireless Networks
- Technology and Security Systems
- Blockchain Technology Applications and Security
- Age of Information Optimization
- Service-Oriented Architecture and Web Services
- Innovation in Digital Healthcare Systems
Beijing University of Posts and Telecommunications
2019-2020
Fog computing is an extension of cloud computing, which emphasizes distributed and provides service closer to user equipments (UEs). However, due the limited coverage fog nodes (FCNs), moving users may be out coverage, would cause radio handover execution results migration when tasks are off-loaded FCNs. Furthermore, extra cost, including energy consumption latency, generated affects revenue UEs. Previous works rarely consider mobility UEs in networks. In this paper, a generic three-layer...
Intelligent edge computing carries out devices of the Internet things (IoT) for data collection, calculation and intelligent analysis, so as to proceed analysis nearby make feedback timely. Because mobility mobile equipments (MEs), if MEs move among reach small cell networks (SCNs), offloaded tasks cannot be returned successfully. As a result, migration incurs additional costs. In this paper, joint task offloading schemes in mobility-aware Mobile Edge Computing (MEC) network based on...
In this paper, we investigate the allocation of resource in D2D-aided Fog computing system with multiple mobile user equipments (MUEs). We consider each MUE has a request for task from library and needs to make decision on performing selection three processing modes which include local mode, fog offloading cloud mode. Two scenarios are considered mean caching its optimization off-peak time, offloading, immediate time. particular, refers cache completed application related data. first...
Mobile Edge Computing (MEC) is regarded as an enabling technology to provide computing capacity closer the mobile equipments (MEs). Due MEs' mobility, execution results of offloaded tasks can't be transmitted back MEs if they are out coverage small cell network (SCN). Therefore, migration needed, which causes extra cost. In this paper, a novel mobility-aware offloading and scheme with MEC proposed maximize total revenue MEs. Firstly, analysis problem maximizing formulated, integrates...
The following topics are dealt with: optimisation; wireless channels; iterative methods; mobile computing; learning (artificial intelligence); relay networks (telecommunication); radiofrequency interference; probability; resource allocation; backscatter.