[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"
www.elsevier.com/locate/inffus
New Submission Deadline: April 25, 2010 (original 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seek technical papers describing original (previously unpublished in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, and at least 11 pt
fonts. Simultaneously, please also send without fail an electronic
copy (PDF only), to the Guest Editor(s) listed below.
New submission deadline: April 25, 2010
Guest Editors
Dr. Eduardo F. Nakamura
Center of Analysis, Research, and Technological
Innovation, FUCAPI, Brazil
E-mail: eduardo.nakamura@fucapi.br
URL: http://www.nakamura.eti.br/eduardo
Dr. Antonio A. F. Loureiro
Federal University of Minas Gerais, Brazil
E-mail: loureiro@dcc.ufmg.br
URL: http://www.dcc.ufmg.br/~loureiro
Dr. Azzedine Boukerche
University of Ottawa, Canada
E-mail: boukerch@site.uottawa.ca
URL: http://www.site.uottawa.ca/~boukerch/
Dr. Albert Y. Zomaya
University of Sydney, Australia
E-Mail: a.zomaya@usyd.edu.au
URL: http://www.cs.usyd.edu.au/~zomaya
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