CFP : Special Issue of Elsevier Information Fusion on Information Fusion in Distributed Sensor Networks

CFP : Special Issue of Elsevier Information Fusion on Information Fusion in Distributed Sensor Networks
Do not bookmark this page; the URL will change once in a while. Bookmark the list of CFPs instead.
Call for papers for a special issue of INFORMATION FUSION The International Journal on Multi-Sensor, Multi-Source Information Fusion An Elsevier Publication On Information Fusion in Distributed Sensor Networks Editor-in-Chief: Dr. Belur V. Dasarathy d.belur@elsevier.com http://belur.no-ip.com Distributed sensor networks domain represents an evolving frontier in technology that pushes information fusion beyond the realms of data aggregation and association. Information fusion plays a role in the inte-gration of smart sensors and actuators, devices and capabilities, real and simulated sensor nodes, as well as different abstraction layers. It also assists in the development of sensor network application with sensor nodes, distributed & collaborative algorithms, software and hardware agents, test-beds & experiments, and so forth, all of which contribute to facilitate information networking in a timely manner. The Information Fu-sion Journal has planned for publication a special issue devoted to information fusion in the broad context of distributed sensor networks. The aim of this special issue is to provide a focal point for recent advances in this foundational area of information fusion and dissemination across different paradigms and disci-plines. Submitted papers should report new contributions underpinning fusion of data and knowledge in distributed sensor networks from various perspectives. Topics appropriate for this special issue include (but are not necessarily restricted to): . Adaptive and self-organizing fusion system architecture for distributed sensor networks . Integrated, network enabled smart sensors-actuators . Multi-sensor, multi-source fusion system architecture for distributed sensor networks . Middleware support for information fusion in sensor networks . Data collection & fusion strategies for sensor networks . Data mining in sensor networks . Distributed database processing in sensor networks . In-network processing and Aggregation . Data association in sensor networks . Routing and information fusion . Data Incest in distributed sensor networks . Integrated energy and resource management algorithms . Quality of service in data collection & fusion . Integration of fusion and learning in sensor networks . Integration of software and hardware agents for sensor network applications . Mechanisms for authenticated, secure communication and data fusion in sensor networks . Integrated test-beds, experiments, algorithms and measurements . Real-world sensor network applications addressing fusion of data and knowledge Authors should prepare the manuscript as per the guidelines for authors described in the frame at left at (http://authors.elsevier.com/JournalDetail.html?PubID=620862&Precis=). Manuscripts submission (for ad-ministrative purposes) should be done electronically at http://www.elsubmit.com/esubmit/inffus. Simultane-ously, please send, without fail, an electronic copy. (pdf format preferred), to the Guest Editor listed below. Guest Editor: Dr. Pratik K. Biswas Penn State University / Applied Research Laboratory State College, PA 16804 Email: pkb3@psu.edu Tel. 814-865-6739 Fax 814-863-1396 Deadline for Submission: October 31, 2004

Do not bookmark this page; the URL will change once in a while. Bookmark the list of CFPs instead.

Call for papers for a special issue of
INFORMATION FUSION
The International Journal on Multi-Sensor, Multi-Source Information Fusion
An Elsevier Publication
On
Information Fusion in Distributed Sensor Networks
Editor-in-Chief: Dr. Belur V. Dasarathy
d.belur@elsevier.com	http://belur.no-ip.com

Distributed sensor networks domain represents an evolving frontier in
technology that pushes information fusion beyond the realms of data
aggregation and association.  Information fusion plays a role in the
inte-gration of smart sensors and actuators, devices and capabilities, real
and simulated sensor nodes, as well as different abstraction layers. It also
assists in the development of sensor network application with sensor nodes,
distributed & collaborative algorithms, software and hardware agents,
test-beds & experiments, and so forth, all of which contribute to facilitate
information networking in a timely manner. The Information Fu-sion Journal
has planned for publication a special issue devoted to information fusion in
the broad context of distributed sensor networks. The aim of this special
issue is to provide a focal point for recent advances in this foundational
area of information fusion and dissemination across different paradigms and
disci-plines. Submitted papers should report new contributions underpinning
fusion of data and knowledge in distributed sensor networks from various
perspectives. Topics appropriate for this special issue include (but are not
necessarily restricted to):
.	Adaptive and self-organizing fusion system architecture for distributed sensor networks
.	Integrated, network enabled smart sensors-actuators
.	Multi-sensor, multi-source fusion system architecture for distributed sensor networks
.	Middleware support for information fusion in sensor networks
.	Data collection & fusion strategies for sensor networks
.	Data mining in sensor networks
.	Distributed database processing in sensor networks
.	In-network processing and Aggregation
.	Data association in sensor networks
.	Routing and information fusion
.	Data Incest in distributed sensor networks
.	Integrated energy and resource management algorithms
.	Quality of service in data collection & fusion
.	Integration of fusion and learning in sensor networks
.	Integration of software and hardware agents for sensor network applications
.	Mechanisms for authenticated, secure communication and data fusion in sensor networks
.	Integrated test-beds, experiments, algorithms and measurements
.	Real-world sensor network applications addressing fusion of data and knowledge

Authors should prepare the manuscript as per the guidelines for authors
described in the frame at left at
(http://authors.elsevier.com/JournalDetail.html?PubID=620862&Precis=).
Manuscripts submission (for ad-ministrative purposes) should be done
electronically at http://www.elsubmit.com/esubmit/inffus. Simultane-ously,
please send, without fail, an electronic copy. (pdf format preferred), to
the Guest Editor listed below.

Guest Editor: Dr. Pratik K. Biswas
Penn State University / Applied Research Laboratory
State College, PA 16804
Email: pkb3@psu.edu
Tel. 814-865-6739	Fax 814-863-1396

Deadline for Submission: October 31, 2004