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Special Issue on Signal Processing in Networking
August 2003
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The area of packet networking offers a wide range of problems
for which signal processing can provide elegant and efficient solutions.
Raising awareness and surveying the state of art of signal
processing in networking is very timely.
This Call for Papers is directed to two research communities
whose union is considerably larger than their intersection. On
one hand, we solicit papers from researchers in signal processing,
who apply their expertise to problems related to network
traffic, performance, topology, and protocols. On the other hand,
we also solicit papers from researchers in networking, who are
working on topics with signal processing aspects such as novel
types of data analysis, estimation, and prediction.
The scope of this Special Issue of the IEEE Transactions on Signal
Processing covers signal processing research for networking
where the basic signal entities are information packets. Papers
on networks that have limited signal processing focus are out
of the scope of this call. Signals extracted from network traffic
can be useful for determining persistent or intermittent causes
of network degradation such as packet delays and losses. Such
causes might include traffic bottlenecks or link failures. Packets
can also be used for probing and estimating the state of the network
and the quality of connection between two points. Internet
tomography has emerged as one of the techniques of investigating
Internets complicated topology. Methods of multi-scale
and other types of time series analysis are needed to study longrange
dependence and other features of network traffic. Finally,
the emergence of large scale mobile networks, both cellular and
ad hoc, raises new signal processing challenges of low power
signal processing, interference and fading mitigation, and data
compression.
We call for high-quality innovative research papers and also for review papers in the broad signal processing areas described above. |
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| Topics: |
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new models for network traffic and related phenomena
wavelet, multifractal and independent component analysis in networks
estimation, prediction, inference and dynamical tracking of network parameters
signal processing techniques for network topology analysis
signal processing aspects of network protocols
signal processing for content delivery techniques: compression servers, unicast, multicast, etc.
distributed signal processing for ad hoc networks
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Editors: |
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Alfred O. Hero,
4229 EECS, Univ. of Michigan
1301 Beal Avenue
Ann Arbor, MI 48109-2122
hero@eecs.umich.edu
Ilkka Norros,
VTT Information Technology
P.O. Box 1202
FIN-02044 VTT
ilkka.norros@vtt.fi
Athina P. Petropulu,
ECE Department
Drexel University
Philadelphia PA 19104
athina@cbis.ece.drexel.edu
Rudolf H. Riedi,
ECE Department
Rice University, MS 380
Houston, TX 77251-1892
riedi@ece.rice.edu
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