Joint Multi-Task Offloading and Resource Allocation for Mobile Edge Computing Systems in Satellite IoT
Beijing University of Posts and Telecommunications · State Key Laboratory of Information Photonics and Optical Communications · +2 more institutions
Abstract
For multi-task mobile edge computing (MEC) systems in satellite Internet of Things (IoT), there are dependencies between different tasks, which need to be collected and jointly offloaded. It is crucial to allocate the computing and communication resources reasonably due to the scarcity of satellite communication and computing resources. To address this issue, we propose a joint multi-task offloading and resource allocation scheme in satellite IoT to improve the offloading efficiency. We first construct a novel resource allocation and task scheduling system in which tasks are collected and decided by multiple unmanned aerial vehicles (UAV) based aerial base stations, the edge computing services are provided by…
Citation impact
- FWCI
- 55.70
- Percentile
- 100%
- References
- 56
Authors
6- FCFurong ChaiCorresponding
Beijing University of Posts and Telecommunications
- QZQi Zhang
Beijing University of Posts and Telecommunications, State Key Laboratory of Information Photonics and Optical Communications
- HYHaipeng Yao
- XXXiangjun Xin
Beijing University of Posts and Telecommunications, State Key Laboratory of Information Photonics and Optical Communications
- RGRan Gao
Beijing Institute of Technology
Topics & keywords
- Computer science
- Distributed computing
- Edge computing
- Mobile edge computing
- Computation offloading
- Scheduling (production processes)
- Task (project management)
- Resource allocation