Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Backscatter Data Collection with Unmanned Ground Vehicle: Mobility
  Management and Power Allocation   Collecting data from massive Internet of Things (IoT) devices is a
challenging task, since communication circuits are power-demanding while energy
supply at IoT devices is limited. To overcome this challenge, backscatter
communication emerges as a promising solution as it eliminates radio frequency
components in IoT devices. Unfortunately, the transmission range of backscatter
communication is short. To facilitate backscatter communication, this work
proposes to integrate unmanned ground vehicle (UGV) with backscatter data
collection. With such a scheme, the UGV could improve the communication quality
by approaching various IoT devices. However, moving also costs energy
consumption and a fundamental question is: what is the right balance between
spending energy on moving versus on communication? To answer this question,
this paper studies energy minimization under a joint graph mobility and
backscatter communication model. With the joint model, the mobility management
and power allocation problem unfortunately involves nonlinear coupling between
discrete variables brought by mobility and continuous variables brought by
communication. Despite the optimization challenges, an algorithm that
theoretically achieves the minimum energy consumption is derived, and it leads
to automatic trade-off between spending energy on moving versus on
communication in the UGV backscatter system. Simulation results show that if
the noise power is small (e.g., -100 dBm), the UGV should collect the data with
small movements. However, if the noise power is increased to a larger value
(e.g., -60 dBm), the UGV should spend more motion energy to get closer to IoT
users.

12
The categories of this paper are: nucl-th
27
The categories of this paper are: comp-gas
21
The categories of this paper are: adap-org
18
The categories of this paper are: econ
26
The categories of this paper are: bayes-an
16
The categories of this paper are: stat
31
The categories of this paper are: ao-sci
13
The categories of this paper are: quant-ph
28
The categories of this paper are: alg-geom
23
The categories of this paper are: solv-int
37
The categories of this paper are: supr-con
24
The categories of this paper are: dg-ga
36
The categories of this paper are: cmp-lg
10
The categories of this paper are: q-bio
6
The categories of this paper are: astro-ph
33
The categories of this paper are: plasm-ph