-------- Original-Nachricht -------- Betreff: The 11th ACM/IEEE International Conference on Information Processing in Sensor Networks Datum: Thu, 22 Sep 2011 19:28:54 +0800 Von: cfp@grid.chu.edu.tw An: wolf@ibr.cs.tu-bs.de

IPSN 2012 The 11th ACM/IEEE International Conference on Information Processing in Sensor Networks April 2012, Beijing, China http://ipsn.acm.org/

IMPORTANT DEADLINES Abstract deadline: Friday, October 07, 2011 Full papers due: Friday, October 14, 2011 Author notification: Friday, January 20, 2012 Camera Ready due: March 1st, 2012

SCOPE The International Conference on Information Processing in Sensor Networks (IPSN) is a leading, single-track, annual forum on research in wireless embedded sensing systems. IPSN brings together researchers from academia, industry, and government to present and discuss recent advances in both theoretical and experimental research. Its scope includes signal and image processing, information and coding theory, databases and information management, distributed algorithms, networks and protocols, wireless communications, collaborative objects and the Internet of Things, machine learning, and embedded systems design. IPSN is part of the Cyber-Physical Systems Week (CPS Week), which will bring together other leading CPS conferences including International Conference on Hybrid Systems (HSCC'12), International Conference on Cyber-Physical Systems (ICCPS'12), and IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS'12). The conference features two interleaved tracks, the Information Processing (IP) track, and the Sensor Platforms, Tools and Design Methods (SPOTS) track. Authors should carefully review the intended foci of these two tracks to decide which track is better suited for their work, and they are encouraged to contact program chairs with questions or clarifications. As an example of the different foci, results focused on the analysis and processing aspects of data collected from deployments should be submitted to the IP track, while details on the hardware and software platforms and tools used in the deployment should be submitted to SPOTS. The Information Processing (IP) track focuses on algorithms, theory, and systems for information processing using networks of embedded sensors. Topics covered in this track include, but are not limited to: - Applications and deployment experiences - Coding, compression and information theory - Data processing, storage and management - Detection, classification, and tracking - Distributed algorithms and reasoning - Distributed and collaborative signal processing - Fundamental bounds and formulations - Location, time, and other network services - Sensor tasking, control, and actuation - Network protocols - Programming models and languages - Innovative mobile sensing applications - User interfaces for sensing applications and systems - Innovative sensing platforms including crowd sourcing

The Sensor Platforms, Tools, and Design Methods (SPOTS) track focuses on new hardware and software architectures, modeling, evaluation, deployment experiences, design methods, implementations, and tools for networked embedded sensor systems. Submissions are expected to refer to specific hardware, software, and implementations. Topics covered in the SPOTS track include, but are not limited to: - Novel sensor network components, device platforms and architectures - Embedded software for sensor networks - Design tools and methodologies for sensor networks - System modeling, simulation, measurements, and analysis - Case studies that describe experiences, highlight challenges, and study/compare the performance of platforms and tools - Network health monitoring and management - Operating systems and runtime environments - Simulation

ORGANIZING COMMITTEE General Chair: Feng Zhao, Microsoft Research Asia TPC Co-Chair (IP Track): Andreas Terzis, Johns Hopkins University TPC Co-Chair (SPOTS Track): Kamin Whitehouse, University of Virginia Demo Chair: Fred Jiang, Microsoft Research Asia Poster Chair: Pei Zhang, Carnegie Mellon University Workshop/Tutorial Chair: Thiemo Voigt, Swedish Institute of Computer Science Publications Chair: Jie Gao, SUNY Stony Brook Finance and Sponsorship Chair: Xenofon Koutsoukos, Vanderbilt University Web Chair: Nic Lane, Microsoft Research Asia Publicity Co-Chairs: Luca Mottola, Swedish Institute of Computer Science and Ying Zhang, Palo Alto Research Center

STEERING COMMITTEE Feng Zhao, Chair, Microsoft Research Tarek Abdelzaher, UIUC Deborah Estrin, UCLA Leo Guibas, Stanford P.R. Kumar, UIUC Sri Kumar, SRI International José Moura, CMU John Stankovic, UVA Janos Sztipanovits, Vanderbilt William Kaiser, UCLA

IP TRACK TECHNICAL PROGRAM COMMITTEE

Andreas Krause, California Institute of Technology / ETH - Zurich Andreas Terzis, John Hopkins University Antonio Ruzzelli, University College Dublin Chenyang Lu, Washington University in St. Louis Gian Pietro Picco, University of Trento Jianzhong Li, Harbin Institute of Technology Jie Gao, Stony Brook University Karl Henrik Johansson, KTH Royal Institute of Technology Kay Roemer, University of Luebeck Koen Langendoen, Delft University of Technology Luca Mottola, Swedish Institute of Computer Science Mike Liang, Microsoft Research Asia Omprakash Gnawali, Stanford University Subhash Suri, University of California - Santa Barbara Thiemo Voigt, Swedish Institute of Computer Science Thomas Moscibroda, Microsoft Research Asia Tim Wark, Commonwealth Scientific and Industrial Research Organisation Utz Roedig, Lancaster University Yunhao Liu, Tsinghua University Polly Huang, National Taiwan University Tarek Abdelzaher, University of Illinois at Urbana-Champaign

SPOTS TRACK TECHNICAL PROGRAM COMMITTEE

Adam Dunkels, Swedish Institute of Computer Science Fred Jiang, Microsoft Research Asia Cui Li, Institute of Computing Technology, Chinese Academy of Sciences Dimitrios Lymberopoulos, Microsoft Research Redmond Rahul Mangharam, University of Pennsylvania Miklos Maroti, University of Szeged Anthony Rowe, Carnegie Mellon University Andreas Savvides, Yale University Thomas Schmid, University of Utah Mani Srivastava, University of California - Los Angeles Kamin Whitehouse, University of Virginia

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