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CFP: SI on Localized Algorithms for Information Fusion in RCN
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Eduardo Nakamura  
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 More options Oct 15 2009, 7:08 am
From: Eduardo Nakamura <efn...@gmail.com>
Date: Wed, 14 Oct 2009 21:38:14 -0400
Local: Thurs, Oct 15 2009 7:08 am
Subject: CFP: SI on Localized Algorithms for Information Fusion in RCN
Dear colleagues,

I would like to distribute this CFP for the community, since this is a
Special Issue of the Information Fusion Journal, which I believe to be
a good publication opportunity for all researchers working on related
topics.

Regards,

Eduardo Nakamura

[Our apologies if you receive multiple copies of this CFP]

Elsevier's Information Fusion Journal, Special Issue on "Localized
Algorithms for Information Fusion in Resource-Constrained Networks"

http://www.elsevierscitech.com/lmfile/otherformat/IFJ-CFP-RCN-Final.pdf

Submission Deadline: February 28, 2010

The Information Fusion Journal (IFJ), an Elsevier publication (JCR
2008: 2.057), is planning a special issue devoted to Localized
Algorithms for Information Fusion in Resource-Constrained Networks.
Resource-Constrained Networks (RCNs) include a wide variety of
networks in which resources – such as processing, communication, and
energy – are limited. Examples of RCNs include ad hoc networks,
sensor networks, mobile networks, and pervasive systems. In RCNs, the
tradeoff between data quality and resource usage (especially energy)
is a major concern. In this case, Localized Algorithms and Information
Fusion are particularly interesting for RCNs, since the development of
efficient practical solutions and algorithms is possibly the most
challenging task for such networks. On one hand, Localized Algorithms
are special distributed algorithms in which only a subset of nodes
partakes in the network tasks, such as data acquisition, processing,
and communication. On the other hand, Information Fusion is often used
for improving the quality of data being transmitted in these networks.
Thus, Localized Algorithms for Information Fusion must deal with the
challenge of working with partial views, or incomplete data, to
provide accurate results at reduced cost.

This special issue will cover a broad range of aspects of Localized
Algorithms for Information Fusion in RCNs, including ad hoc and mobile
networks, wireless sensor networks, networked pervasive systems. We
seek technical papers describing original (previously unpublished in
any form or forum) ideas, groundbreaking results, and quantified
system experiences. We especially encourage submissions that highlight
practical deployments of RCNs, new application domains, and critical
surveys of the state-of-the-art. Topics of interest for this special
issue include, but are not limited to:

- In-network query processing and data storage;
- Localized signal processing;
- Localized estimation, reasoning, and inference;
- Localized information fusion for time synchronization;
- Localized information fusion for location discovery and
location-based services;
- Localized information fusion for reliability and fault tolerance;
- Localized information fusion for communication protocols at all
layers (MAC, scheduling, routing, transport, and application);
- Quality-aware resource management using localized information fusion;
- Mobility control and coordination;
- Optimization techniques for localized information fusion in
homogeneous and heterogeneous RCNs;
- Localized information fusion for data compression and distributed
source coding.

Manuscripts must describe original, completed, and unpublished work
not currently under review by any other journal, magazine, or
conference.

Submission Instructions

Prospective authors should follow the Information Fusion (Elsevier)
journal manuscript format described at
http://www.elsevier.com/locate/inffus. Manuscripts should be submitted
electronically online at http://ees.elsevier.com/inffus. In the
submission process, the authors should clearly indicate that the
submission is to be considered for this special issue. Manuscripts
must be in single-column format, doublespaced, at least 11 pt fonts,
and should not exceed 25 pages including figures, tables, algorithms,
and references. Simultaneously, please also send without fail an
electronic copy (PDF only), to the Guest Editor(s) listed below.

Submission Deadline: February 28, 2010

Guest Editors

Dr. Eduardo F. Nakamura
Center of Analysis, Research, and Technological
Innovation, FUCAPI, Brazil
E-mail: eduardo.nakam...@fucapi.br
URL: http://www.nakamura.eti.br/eduardo

Dr. Antonio A. F. Loureiro
Federal University of Minas Gerais, Brazil
E-mail: loure...@dcc.ufmg.br
URL: http://www.dcc.ufmg.br/~loureiro

Dr. Azzedine Boukerche
University of Ottawa, Canada
E-mail: bouke...@site.uottawa.ca
URL: http://www.site.uottawa.ca/~boukerch/

Dr. Albert Y. Zomaya
University of Sydney, Australia
E-Mail: a.zom...@usyd.edu.au
URL: http://www.cs.usyd.edu.au/~zomaya


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