Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Trajectory Design for Distributed Estimation in UAV Enabled Wireless
  Sensor Network   In this paper, we study an unmanned aerial vehicle(UAV)-enabled wireless
sensor network, where a UAV is dispatched to collect the sensed data from
distributed sensor nodes (SNs) for estimating an unknown parameter. It is
revealed that in order to minimize the mean square error (MSE) for the
estimation, the UAV should collect the data from as many SNs as possible, based
on which an optimization problem is formulated to design the UAV's trajectory
subject to its practical mobility constraints. Although the problem is
non-convex and NP-hard, we show that the optimal UAV trajectory consists of
connected line segments only. With this simplification, an efficient suboptimal
solution is proposed by leveraging the classic traveling salesman problem (TSP)
method and applying convex optimization techniques. Simulation results show
that the proposed trajectory design achieves significant performance gains in
terms of the number of SNs whose data are successfully collected, as compared
to other benchmark schemes.

36
The categories of this paper are: cmp-lg
25
The categories of this paper are: patt-sol
18
The categories of this paper are: econ
30
The categories of this paper are: q-alg
11
The categories of this paper are: hep-lat
16
The categories of this paper are: stat
29
The categories of this paper are: funct-an
0
The categories of this paper are: hep-ph
4
The categories of this paper are: cond-mat
9
The categories of this paper are: nlin
20
The categories of this paper are: acc-phys
8
The categories of this paper are: hep-ex
17
The categories of this paper are: q-fin
37
The categories of this paper are: supr-con
21
The categories of this paper are: adap-org
3
The categories of this paper are: physics