Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Multi-UAV Cooperative Trajectory for Servicing Dynamic Demands and
  Charging Battery   Unmanned Aerial Vehicle (UAV) technology is a promising solution for
providing high-quality mobile services to ground users, where a UAV with
limited service coverage travels among multiple geographical user locations
(e.g., hotspots) for servicing their demands locally. How to dynamically
determine a UAV swarm's cooperative path planning to best meet many users'
spatio-temporally distributed demands is an important question but is
unaddressed in the literature. To our best knowledge, this paper is the first
to design and analyze cooperative path planning algorithms of a large UAV swarm
for optimally servicing many spatial locations, where ground users' demands are
released dynamically in the long time horizon. Regarding a single UAV's path
planning design, we manage to substantially simplify the traditional dynamic
program and propose an optimal algorithm of low computation complexity, which
is only polynomial with respect to both the numbers of spatial locations and
user demands. After coordinating a large number $K$ of UAVs, this simplified
dynamic optimization problem becomes intractable and we alternatively present a
fast iterative cooperation algorithm with provable approximation ratio
$1-(1-\frac{1}{K})^{K}$ in the worst case, which is proved to obviously
outperform the traditional approach of partitioning UAVs to serve different
location clusters separately. To relax UAVs' battery capacity limit for
sustainable service provisioning, we further allow UAVs to travel to charging
stations in the mean time and thus jointly design UAVs' path planning over
users' locations and charging stations. Despite of the problem difficulty, for
the optimal solution, we successfully transform the problem to an integer
linear program by creating novel directed acyclic graph of the UAV-state
transition diagram, and propose an iterative algorithm with constant
approximation ratio.

25
The categories of this paper are: patt-sol
27
The categories of this paper are: comp-gas
4
The categories of this paper are: cond-mat
11
The categories of this paper are: hep-lat
32
The categories of this paper are: atom-ph
0
The categories of this paper are: hep-ph
19
The categories of this paper are: eess
7
The categories of this paper are: hep-th
29
The categories of this paper are: funct-an
28
The categories of this paper are: alg-geom
33
The categories of this paper are: plasm-ph
36
The categories of this paper are: cmp-lg
15
The categories of this paper are: nucl-ex
26
The categories of this paper are: bayes-an
9
The categories of this paper are: nlin
16
The categories of this paper are: stat