Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Reflective Network Tomography Based on Compressed Sensing   Network tomography means to estimate internal link states from end-to-end
path measurements. In conventional network tomography, to make packets
transmissively penetrate a network, a cooperation between transmitter and
receiver nodes is required, which are located at different places in the
network. In this paper, we propose a reflective network tomography, which can
totally avoid such a cooperation, since a single transceiver node transmits
packets and receives them after traversing back from the network. Furthermore,
we are interested in identification of a limited number of bottleneck links, so
we naturally introduce compressed sensing technique into it. Allowing two kinds
of paths such as (fully) loopy path and folded path, we propose a
computationally-efficient algorithm for constructing reflective paths for a
given network. In the performance evaluation by computer simulation, we confirm
the effectiveness of the proposed reflective network tomography scheme.

33
The categories of this paper are: plasm-ph
31
The categories of this paper are: ao-sci
26
The categories of this paper are: bayes-an
37
The categories of this paper are: supr-con
11
The categories of this paper are: hep-lat
10
The categories of this paper are: q-bio
14
The categories of this paper are: math-ph
35
The categories of this paper are: mtrl-th
30
The categories of this paper are: q-alg
6
The categories of this paper are: astro-ph
20
The categories of this paper are: acc-phys
19
The categories of this paper are: eess
22
The categories of this paper are: chao-dyn
0
The categories of this paper are: hep-ph
5
The categories of this paper are: gr-qc
8
The categories of this paper are: hep-ex