[agents] Abstracts due TODAY - Friday, Feb 7: CFP: IEEE DCOSS 2014 (25-27 May 2014, Marina Del Rey, California, USA)

[Animesh Pathak]

[Apologies for duplicates. We are pleased to announce that extended versions of selected papers
will be considered for publication in IEEE IoT Journal (http://iot.ieee.org/journal). ]

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              The 10th IEEE International Conference on
         Distributed Computing in Sensor Systems (IEEE DCOSS)
                      http://www.dcoss.org/
                   Marina Del Rey, California
                        May 25 - 27, 2014

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Abstract Registration Deadline   February 7, 2014 !!!!!
Paper Submission Deadline        February 14, 2014 !!!!!
Acceptance Notification          April 4, 2014
Camera Ready Deadline            April 16, 2014
Early Registration Deadline      April 29, 2014

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Distributed sensor systems have become a highly active research area
due to their potential for providing diverse new capabilities
applications. The focus of the IEEE DCOSS conference is on
distributed computing issues in large scale networked sensor systems
(including algorithms and applications, systems design techniques
and tools, and in-network signal and information processing). The
conference normally features three tracks on Algorithms, Systems, and
Signal Processing. In DCOSS 2014, the special track is Social
Networks and Crowdsensing. All accepted papers will be included in
the symposium proceedings, which will be published by the IEEE
Computer Society Conference Publishing Services and submitted to the
IEEE Xplore Digital Library. Authors are invited to submit original
unpublished manuscripts that demonstrate current research on
computational aspects of distributed sensor systems. Extended
versions of selected papers will be considered for publication in
IEEE IoT Journal (http://iot.ieee.org/journal).

Topics of interest include but are not limited to:
* Social networks and crowdsensing
* Sensors for Smart Grid systems, green networks and sustainability
* Computation and programming models
* Energy models, minimization, awareness
* Distributed collaborative information processing
* Detection and tracking
* Theoretical performance analysis complexity,correctness,scalability
* Abstractions for modular design
* Fault tolerance and security
* Languages, operating systems
* Task allocation, reprogramming and reconfiguration
* Dynamic resource management
* Scalable, heterogeneous architectures (node and system-level)
* Middleware interfaces, communication and processing primitives
* Design, simulation, optimization tools for deployment and operation
* Design automation and application synthesis techniques
* Closed-loop control for sensing and actuation
* Case studies lessons from real world deployments
* Network coding and compression

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General Chair:
  Bhaskar Krishnamachari, University of Southern California, USA

Technical Program Co-Chairs:
  Lothar Thiele, ETH Zurich, Switzerland
  Mingyan Liu, University of Michigan, Ann Arbor, USA

Program Vice Co-Chairs:
Algorithms and Performance Analysis
  Carla-Fabiana Chiasserini, Polytechnic University of Turin, Italy
Systems and Applications
  Kay Roemer, TU Graz, Austria
Signal Processing and Information Theory
  Azadeh Vosoughi, University of Central Florida, USA
Social Networks & Crowdsensing
  Karl Aberer, EPFL, Switzerland

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--
Animesh Pathak
Research Scientist
ARLES Project-team
Inria Paris-Rocquencourt
web: https://who.rocq.inria.fr/Animesh.Pathak/
email: Animesh.Pathak at inria.fr
tel: +33 1 39 63 59 37