Abstract

Autonomous air drones, known as Unmanned Aerial Vehicles (UAVs), often carry out missions with real-time video streaming. In this work, we address the off-line mission plan problem of computing the optimal path from an origin to a final destination in two-dimensional space in order to maximize the quality of the communication, given a cellular coverage, and thus to provide throughput guarantees to the video streaming. In addressing the problem, we consider the energy budget constraint, the presence of wind in the area and the path smoothing problem. We propose novel path planning algorithms that are shown to outperform classical approaches that are oblivious of communication network coverage.

Keywords:
Computer science Drone Path (computing) Real-time computing Motion planning Smoothing Throughput Heuristic Distributed computing Computer network Constraint (computer-aided design) Artificial intelligence Telecommunications Wireless Robot Engineering

Metrics

7
Cited By
1.12
FWCI (Field Weighted Citation Impact)
19
Refs
0.86
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

UAV Applications and Optimization
Physical Sciences →  Engineering →  Aerospace Engineering
Robotic Path Planning Algorithms
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Mobile Ad Hoc Networks
Physical Sciences →  Computer Science →  Computer Networks and Communications
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