Joint Task Offloading and Resource Allocation in Aerial-Terrestrial UAV Networks With Edge and Fog Computing for Post-Disaster Rescue
Jilin University · Jilin Province Science and Technology Department · +6 more institutions
Abstract
Unmanned aerial vehicles (UAVs) are playing an increasingly important role in assisting fast-response post-disaster rescue due to their fast deployment, flexible mobility, and low cost. However, UAVs face the challenges of limited battery capacity and computing resources, which could shorten the expected flight endurance of UAVs and increase the rescue response delay during performing mission-critical tasks. To address these challenges, we first present a three-layer post-disaster rescue computing architecture by leveraging the aerial-terrestrial edge capabilities of mobile edge computing (MEC) and vehicle fog computing (VFC), which consists of a vehicle fog layer, a UAV client layer, and a UAV edge layer.…
Citation impact
- FWCI
- 220.42
- Percentile
- 100%
- References
- 77
Authors
8- GSGeng SunCorresponding
Jilin University, Jilin Province Science and Technology Department
- LHLong He
Jilin University, Jilin Province Science and Technology Department
- ZSZemin Sun
Jilin University, Jilin Province Science and Technology Department
- QWQingqing Wu
Shanghai Jiao Tong University
- SLShuang Liang
Northeast Normal University
Topics & keywords
- Computer science
- Edge computing
- Mobile edge computing
- Resource allocation
- Task (project management)
- Resource management (computing)
- Distributed computing
- Enhanced Data Rates for GSM Evolution
- Climate action