Name
Abstract | ||
|---|---|---|
Due to the mobility and flexibility of unmanned aerial vehicle (UAV), it has been widely used in data collection. This article considers multiple UAVs to collect data from multiple sensor nodes (SNs) with the interference. In order to ensure the timeliness of the collected data, we jointly optimize the trajectory of the UAVs and the wake-up time allocation as well as the transmit power of the SNs for minimization of the mission completion time. The formulated problem is non-convex with continuous variables which is difficult to solve. In order to solve this problem, we consider time discretization directly, then use bisection search to turn it into a finite variable problem and use the successive convex approximation and alternating optimization techniques to solve it. In our research, we initialized the UAV's trajectory with tangent circles to speed up the convergence of algorithm. The simulation results show that the proposed method complete the missions of data collection better than benchmark schemes. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/WCNC49053.2021.9417285 | 2021 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE (WCNC) |
Keywords | DocType | ISSN |
UAV data collection, completion time, UAV trajectory design, wake-up time allocation | Conference | 1525-3511 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Guangyu Zhu | 1 | 0 | 0.34 |
| Li Guo | 2 | 141 | 9.60 |
| Chao Dong | 3 | 24 | 15.66 |
| Xidong Mu | 4 | 265 | 11.60 |