Cai Y, Yuan W, Wei Z, Liu C, Hu S, Kwan Ng DW (2022)
Publication Type: Conference contribution
Publication year: 2022
Publisher: Institute of Electrical and Electronics Engineers Inc.
Conference Proceedings Title: 2022 1st International Conference on 6G Networking, 6GNet 2022
Event location: Paris, FRA
ISBN: 9781665467636
DOI: 10.1109/6GNet54646.2022.9830200
In this paper, we study the trajectory design and resource allocation for the unmanned aerial vehicle (UAV)-enabled data collection in wireless sensor networks (WSNs) considering the potential blockages caused by multiple three-dimensional (3D) buildings. We aim to maximize the average data collection rate via jointly designing the sensor node (SN) scheduling for data collection, the transmit power, and the UAV's trajectory. To this end, the design is formulated as a non-convex optimization problem taking into account the existence of blockages and the potential of data buffer overflow at SNs. Since the formulated problem is intractable, we propose an iterative algorithm to obtain an efficient suboptimal solution. Numerical results demonstrate that the proposed algorithm can achieve substainal performance gain in terms of data collection for different number of SNs over other baseline schemes.
APA:
Cai, Y., Yuan, W., Wei, Z., Liu, C., Hu, S., & Kwan Ng, D.W. (2022). Trajectory Design and Resource Allocation for UAV-Enabled Data Collection in Wireless Sensor Networks with 3D Blockages. In 2022 1st International Conference on 6G Networking, 6GNet 2022. Paris, FRA: Institute of Electrical and Electronics Engineers Inc..
MLA:
Cai, Yuanxin, et al. "Trajectory Design and Resource Allocation for UAV-Enabled Data Collection in Wireless Sensor Networks with 3D Blockages." Proceedings of the 1st International Conference on 6G Networking, 6GNet 2022, Paris, FRA Institute of Electrical and Electronics Engineers Inc., 2022.
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