2009-11-15

[Tccc] Special Issue on Signal Processing-Assisted Protocols and Algorithms for Cooperating Objects and Wireless Sensor Networks

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Special Issue: Signal Processing-Assisted Protocols and Algorithms for
Cooperating Objects and Wireless Sensor Networks

EURASIP Journal on Wireless Communications and Networking
http://www.hindawi.com/journals/wcn/

Manuscript due: February 1, 2010

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Call for Papers

With the advent of the so-called Internet of Things (IoTs), we will
witness an unprecedented growth in the number of networked terminals and
devices. In attaining this IoT vision, a class of energy- and, in general,
resource-constrained systems like Wireless Sensor Networks (WSNs),
networks of cooperating objects and embedded devices, such as RFIDs, or
networks for Machine-to-Machine (M2M) communications are to play a
fundamental role. The paradigm shift from general-purpose to
application-oriented networks (e.g., for parameter or random field
estimation, event detection, localization) clearly calls for further
optimization at the physical, link, and network layers. Interestingly, the
above-mentioned estimation/detection/localization problems have been
addressed for years by the signal processing community, this resulting
into a number of well-known algorithms. Besides, some inspiration could be
also borrowed from other communication schemes, such as MIMO or
cooperative communications that were traditionally developed for wireless
data networks, or even from other fields such as mathematical biology
(e.g., networks of coupled oscillators). However, the challenge now is to
enhance such algorithms and make them suitable for decentralized and
resource-constrained operation in potentially large networks.
Complementarily, the vast literature produced by the information theory
community reveals, on the one hand, the theoretical performance limits of
decentralized processing (e.g., distributed source coding) and, on the
other, offers insight on the scalability properties and asymptotic
behavior of such networks. Realizing the information-theoretic performance
with practical decentralized networking, radio resource management
schemes, routing protocols, and other network management paradigms is a
key challenge.

The objective of this Special Issue (whose preparation is carried out
under the auspices of the EC Network of Excellence in Wireless
Communications NEWCOM++) is to gather recent advances in the areas of
cooperating objects, embedded devices, and wireless sensor networks. The
focus is on how the design of future physical, link, and network layers
could benefit from a signal processing-oriented approach. Specific topics
include but are not limited to:

* Decentralized parameter estimation
* Estimation of random fields
* Distributed MIMO and beamforming
* Cooperative time/frequency synchronization
* Cooperative event detection
* Data gathering and data fusion
* Data-centric multihop techniques and routing
* Asymptotic laws for in-network estimation/detection
* Energy-saving algorithms and protocols.
* Feedback-limited scheduling and MAC protocols
* Decentralized joint source-channel coding
* Cooperative localization and tracking
* Topology control in resource-constrained networks
* Low-complexity opportunistic networking protocols

Before submission authors should carefully read over the journal's Author
Guidelines, which are located at
http://www.hindawi.com/journals/wcn/guidelines.html. Prospective authors
should submit an electronic copy of their complete manuscript through the
journal Manuscript Tracking System at http://mts.hindawi.com/ according to
the following timetable:

Manuscript Due February 1, 2010
First Round of Reviews May 1, 2010
Publication Date August 1, 2010

Guest Editors

* Carles Antón-Haro, Centre Tecnològic de Telecomunicacions de Catalunya
(CTTC), 08860 Castelldefels, Barcelona, Spain
* Davide Dardari, WiLAB, University of Bologna at Cesena, Cesena,
Forlì-Cesena, Italy
* Osvaldo Simeone, Center for Wireless Communications and Signal
Processing Research, New Jersey Institute of Technology (NJIT), Newark, NJ
07102, USA
* Roberto Verdone, WiLAB, University of Bologna, Bologna, Italy

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