Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: BRVST: Efficient and Content-Expressive Information Matching Overlay in
  Wireless Networks   Efficient and flexible information matching over wireless networks has become
increasingly important and challenging with the popularity of smart devices and
the growth of social-network-based applications. Some existing approaches
designed for wired networks are not applicable to wireless networks, due to
their overwhelming control overheads. In this paper, we propose a reliable and
scalable binary range vector summary tree (BRVST) infrastructure for flexible
information expression support, effective content matching and timely
information dissemination over the dynamic wireless network. A novel attribute
range vector structure has been introduced for efficient and accurate content
representation and a summary tree structure to facilitate information
aggregation. For robust and scalable operations over dynamic wireless network,
the proposed overlay system exploits a virtual hierarchical geographic
management framework. Extensive simulations demonstrate that BRVST has a
significantly faster event matching speed, while incurs very low storage and
traffic overhead, as compared with peer schemes tested.

0
The categories of this paper are: hep-ph
2
The categories of this paper are: math
8
The categories of this paper are: hep-ex
24
The categories of this paper are: dg-ga
27
The categories of this paper are: comp-gas
9
The categories of this paper are: nlin
29
The categories of this paper are: funct-an
13
The categories of this paper are: quant-ph
34
The categories of this paper are: chem-ph
16
The categories of this paper are: stat
6
The categories of this paper are: astro-ph
31
The categories of this paper are: ao-sci
5
The categories of this paper are: gr-qc
12
The categories of this paper are: nucl-th
33
The categories of this paper are: plasm-ph
10
The categories of this paper are: q-bio