Nowadays, the extensive use of the UAV-enabled network in different applications demands intelligent deployment planning to exploit several benefits of UAV. This paper proposes an energy-efficient 3-D deployment strategy for a hotspot scenario to offer a guaranteed Quality of Service (QoS) with no interUAV interference and UAV capacity limit violation. The 3-D placement of the UAVs is addressed by the horizontal, followed by vertical placement optimization. A square circle packing technique is presented for the horizontal placement of UAVs over the hotspot area. Under vertical placement planning, the altitude of the UAV is optimized to save battery energy. The performance of the square packing technique is assessed for a real-time hotspot scenario modeled by Matérn cluster point process and the performance is compared with K-means algorithm, Genetic algorithm and the best known circle packing techniques.
Energy Efficient 3-D Placement of Capacity Constrained UAV Network for Guaranteed QoS
2022-09-01
1465774 byte
Conference paper
Electronic Resource
English
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