Wang, R;
Meng, K;
Li, D;
(2025)
Multi-UAV Collaborative Trajectory Planning for Seamless Data Collection and Transmission.
In:
IEEE Wireless Communications and Networking Conference Wcnc.
(pp. pp. 1-7).
IEEE
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Abstract
Unmanned aerial vehicles (UAVs) have attracted plenty of attention due to their high flexibility and enhanced communication ability. However, the limited coverage and energy of UAVs make it difficult to provide timely wireless service for large-scale sensor networks, which also exist in multiple UAVs. To this end, the advanced collaboration mechanism of UAVs urgently needs to be designed. In this paper, we propose a multi-UAV collaborative scheme for seamless data collection and transmission, where UA s are dispatched to collection points (CPs) to collect and transmit the time-critical data to the ground base station (BS) simultaneously through the cooperative backhaul link. Specifically, the mission completion time is minimized by optimizing the trajectories, task allocation, collection time scheduling, and transmission topology of UAVs while ensuring backhaul link to the BS. However, the formulated problem is non-convex and challenging to solve directly. To tackle this problem, the CP locations and transmission topology of UAVs are obtained by sensor node (SN) clustering and region division. Next, the transmission connectivity condition between UAVs is derived to facilitate the trajectory discretization and thus reduce the dimensions of variables. This simplifies the problem to optimizing the UAV hovering locations, hovering time, and CP serving sequence. Then, we propose a point-matching-based trajectory planning algorithm to solve the problem efficiently. The simulation results show that the proposed scheme achieves significant performance gains over the two benchmarks.
| Type: | Proceedings paper |
|---|---|
| Title: | Multi-UAV Collaborative Trajectory Planning for Seamless Data Collection and Transmission |
| Event: | 2025 IEEE Wireless Communications and Networking Conference (WCNC) |
| Location: | Milan, Italy |
| Dates: | 24th-27th March 2025 |
| ISBN-13: | 979-8-3503-6836-9 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/WCNC61545.2025.10978431 |
| Publisher version: | https://doi.org/10.1109/wcnc61545.2025.10978431 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10209998 |
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