-------- Original-Nachricht -------- Betreff: [TCCC-ANNOUNCE] One-week Extension of Deadlines (Feb 7 and 14): CFP: IEEE DCOSS 2014 (25-27 May 2014, Marina Del Rey, California, USA) Datum: Thu, 30 Jan 2014 14:54:14 +0100 Von: Animesh Pathak animesh.pathak@INRIA.FR Antwort an: Animesh Pathak animesh.pathak@INRIA.FR An: tccc-announce@COMSOC.ORG

[Apologies for duplicates. Please note the one-week extension of deadline. We are also 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 Authors are invited to submit original unpublished manuscripts that demonstrate current research on computational aspects of distributed sensor systems.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@inria.fr tel: +33 1 39 63 59 37

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