posted by user: efnaka || 4902 views || tracked by 22 users: [display]

IFJ-SI on RCN 2010 : Elsevier's Information Fusion Journal, Special Issue on Localized Algorithms for Information Fusion in Resource-Constrained Networks

FacebookTwitterLinkedInGoogle

Link: http://www.elsevierscitech.com/lmfile/otherformat/IFJ-CFP-RCN-Final.pdf
 
When N/A
Where N/A
Submission Deadline Feb 28, 2010
Categories    communications   network   data fusion   signal processing
 

Call For Papers

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 We seek technical papers describing original (previously unpublished in any form or forum) ideas, groundbreaking results, and quantified system experiences.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.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

Related Resources

MIF-SHAI (INFFUS) 2020   Special Issue on Multi-Source Information Fusion for Smart Health with AI, Information Fusion, Elsevier
AVC 2020   Advances in Vision Computing: An International Journal
SI Algo Bias & Fairness 2020   Special Issue on Algorithmic Bias and Fairness in Search and Recommendation - Information Processing & Management (I.F. 3.892)
EI--ICVISP 2020   2020 4th International Conference on Vision, Image and Signal Processing (ICVISP 2020)
FUSION 2020   2020 23rd International Conference on Information Fusion
WSPML 2020   2020 2nd International Workshop on Signal Processing and Machine Learning (WSPML 2020)
CISDM 2020   2020 2nd Euro-Asia Conference on Information System and Data Mining (CISDM 2020)
IEEE-CTISC 2020-Ei/Scopus 2020   2020 2nd International Conference on Advances in Computer Technology, Information Science and Communications (CTISC 2020)
FCSIT 2020   2020 2nd Euro-Asia Conference on Frontiers of Computer Science and Information Technology (FCSIT 2020)
EI-CMVIT 2021   5th International Conference on Machine Vision and Information Technology (CMVIT 2021)