Name
Abstract | ||
|---|---|---|
This study investigates a novel unmanned aerial vehicle (UAV)-based wireless sensor network, where the UAV acts as a flying base station to serve multiple wireless sensor nodes (SNs). The authors goal is to maximise the system energy efficiency of the UAV while satisfying the fairness among SNs by jointly optimising the UAV trajectory and UAV time allocation. The formulated problem is shown to be ... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1049/iet-com.2018.5441 | IET Communications |
Keywords | Field | DocType |
autonomous aerial vehicles,concave programming,convex programming,iterative methods,optimisation,remotely operated vehicles,wireless sensor networks | Base station,Wireless,Iterative method,Efficient energy use,Real-time computing,Coordinate descent,Energy consumption,Wireless sensor network,Mathematics,Trajectory | Journal |
Volume | Issue | ISSN |
13 | 8 | 1751-8628 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Luxi Yang | 1 | 1180 | 118.08 |
| Meng Hua | 2 | 14 | 2.90 |
| Yi Wang | 3 | 74 | 10.97 |
| Zhengming Zhang | 4 | 10 | 2.14 |
| Chunguo Li | 5 | 48 | 10.72 |
| Yongming Huang | 6 | 1472 | 146.50 |