Name
Abstract | ||
|---|---|---|
In this paper, a generic scheduling framework to manage a fleet of micro unmanned aerial vehicles (UAVs) is proposed. The objective is to employ multiple UAVs in sequential and parallel ways to cover spatially and temporally distributed events in a geographical area of interest over a long period of time. The proactive scheduling framework considers several constraints and challenges, including th... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/ACCESS.2018.2885321 | IEEE Access |
Keywords | Field | DocType |
Batteries,Path planning,Task analysis,Complexity theory,Drones,Monitoring | Discretization,Time horizon,Computer science,Docking station,Scheduling (computing),Integer programming,Battery (electricity),Energy consumption,Linearization,Distributed computing | Journal |
Volume | ISSN | Citations |
7 | 2169-3536 | 2 |
PageRank | References | Authors |
0.48 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hakim Ghazzai | 1 | 181 | 34.97 |
| Abdullah Kadri | 2 | 171 | 22.00 |
| Mahdi Ben Ghorbel | 3 | 83 | 13.11 |
| Hamid Menouar | 4 | 188 | 14.65 |
| Yehia Massoud | 5 | 772 | 113.05 |