Title
Energy-Efficiency for Fixed-Wing UAV-Enabled Data Collection and Forwarding
Abstract
Wireless communication with unmanned aerial vehicles (UAVs) becomes a hot topic because of thier mobility and low cost. This paper proposes a fixed-wing UAV-enabled communication system to collect and forward data from one node to another node, between which the direct link is blocked. As fixed-wing UAV cannot hover steadily and turn around quickly, this paper proposes a running track (RT) trajectory model which consists of straight part and circular part. The objective is to minimize the UAV's propulsion energy consumption while satisfying the throughput requirement by optimizing the RT trajectory. A variable discretization method is used to transform the problem into a discretized equivalent. And then the problem is transformed into a convex optimization problem which can obtain a locally optimal solution by the successive convex approximation (SCA) method. Numerical results show that the proposed RT model can obtain the optimal trajectory to collect and forward the data efficiently with the less propulsion energy, compared to the approximate straight trajectory and circular trajectory.
Year
DOI
Venue
2019
10.1109/ICCW.2019.8757098
2019 IEEE International Conference on Communications Workshops (ICC Workshops)
Keywords
Field
DocType
energy-efficiency,fixed-wing UAV-enabled data collection,wireless communication,unmanned aerial vehicles,fixed-wing UAV-enabled communication system,running track trajectory model,variable discretization method,convex optimization problem,successive convex approximation method,optimal trajectory,approximate straight trajectory,circular trajectory,UAVs propulsion energy consumption,forward data,RT trajectory,SCA method
Discretization,Propulsion,Efficient energy use,Computer science,Communications system,Real-time computing,Throughput,Energy consumption,Convex optimization,Trajectory
Conference
ISSN
ISBN
Citations 
2474-9133
978-1-7281-2374-5
0
PageRank 
References 
Authors
0.34
9
5
Name
Order
Citations
PageRank
Fangyun Dong100.34
Linpei Li282.51
Zhaoming Lu316853.12
Qi Pan422.40
Wei Zheng534230.46