Title
PANDA: Placement of Unmanned Aerial Vehicles Achieving 3D Directional Coverage
Abstract
This paper considers the fundamental problem of Placement of unmanned Aerial vehicles achieviNg 3D Directional cover Age (PANDA), that is, given a set of objects with determined positions and orientations in a 3D space, deploy a fixed number of UAVs by adjusting their positions and orientations such that the overall directional coverage utility for all objects is maximized. First, we establish the 3D directional coverage model for both cameras and objects. Then, we propose a Dominating Coverage Set (DCS) extraction method to reduce the infinite solution space of PANDA to a limited one without performance loss. Finally, we model the reformulated problem as maximizing a monotone submodular function subject to a matroid constraint, and present a greedy algorithm with 1 -1 /e approximation ratio to address this problem. We conduct simulations and field experiments to evaluate the proposed algorithm, and the results show that our algorithm outperforms comparison ones by at least 75.4%.
Year
Venue
Keywords
2019
ieee international conference computer and communications
Cameras,Three-dimensional displays,Solid modeling,Monitoring,Mathematical model,Two dimensional displays,Unmanned aerial vehicles
Field
DocType
ISSN
Matroid,Computer science,Submodular set function,Algorithm,Greedy algorithm,Solid modeling,Monotone polygon,Distributed computing
Conference
0743-166X
ISBN
Citations 
PageRank 
978-1-7281-0515-4
3
0.39
References 
Authors
0
7
Name
Order
Citations
PageRank
Weijun Wang141.08
Dai Haipeng241955.44
Chao Dong3113.24
Xiao Cheng42815.46
Xiaoyu Wang516759.60
guihai chen63537317.28
Wanchun Dou787896.01