[Tccc] Call for Papers: The 13th ACM/IEEE International Conference on Information Processing in Sensor Networks

Dr. Anna Förster anna.foersteratsupsi.ch
Mon Jul 22 05:38:50 EDT 2013



 
======================================================================== 

The 13th ACM/IEEE International Conference on Information Processing in Sensor 
Networks
Part of CPS Week 2014
Call for Papers
 
April 15-17, 2014, Berlin, Germany
URL: http://ipsn.acm.org/2014/
 
The International Conference on Information Processing in Sensor Networks 
(IPSN) is a leading, single-track, annual forum on research in networked 
sensing and control, broadly defined. 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, mobile and social sensing, and embedded systems design. Of special 
interest are contributions at the confluence of a multiple of these areas.  In 
addition to regular research papers, in IPSN 2014, we also encourage 
submissions of Challenge Papers that lay out visions and future challenges in 
the field of information processing in sensor networks. Challenge papers are up 
to 6 page long and the title should start with Challenge:   These 
submissions are reviewed based on the novelty of the concepts and potential of 
impacting the field.
 
The conference features two submission tracks, the Information Processing (IP) 
track, and the Sensor Platforms, Tools and Design Methods (SPOTS) track. 
Authors are encouraged to read the foci of the tracks and make indications in 
the submission site accordingly. However, submission tracks are for review 
preference only. The program committees work together in the review process.
 
Topics:
The IP track focuses on algorithms, theory, and systems for information 
processing using networks of embedded, human-in-the-loop, or social sensors. 
Topics covered in the IP track include, but are not limited to:
                             Sensor data processing, mining, and machine 
learning
                             Data storage, management, and retrieval
                             Coding, compression and information theory
                             Detection, classification, tracking, reasoning, 
and decision making
                             Theoretical foundation and fundamental bounds
                             Network and system architectures and protocols
                             Sensor tasking, control, and actuation
                             Location, time, and other network services
                             Programming models and languages
                             Mobile, participatory, and social sensing
                             Innovative applications and deployment experiences
 
The 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 components, device platforms and 
architectures for networked sensing
                             Innovative sensing and processing platforms 
including cloud, crowd, and consumer devices
                             Embedded software for sensor networks
                             System modeling, simulation, measurements, and 
analysis
                             Design tools and methodologies for sensor networks
                             Network health monitoring and management
                             Operating systems and runtime environments
                             User interfaces for sensing applications and 
systems
                             Case studies highlighting experiences, 
challenges, and comparisons of platforms and tools
 
Submission:
Submissions must be full papers. Regular submissions are at most 12 pages, 
including figures, tables, and references. Challenges submissions are at most 6 
pages. Notice that page limits are the MAXIMUM lengths. Paper qualities are not 
judged by length. Please
refer to the conference web site for format details.
 
Key Dates:
                             Paper registration deadline: Oct. 7th, 2013
                             Paper submission deadline: Oct. 14th, 2013
                             Notification: Jan. 17th, 2014
Organizers:
  General Chair: Adam Wolisz (TU Berlin)
  TPC Co-Chairs: Jie Liu (Microsoft Research)
                                Lin Zhong (Rice University)
  TPC:
    Tarek Abdelzaher, UIUC
    Yuvraj Agarwal, CMU
    Marco Duarte, UMass-Amherst
    Jie Gao, Stony Brook University
    Omprakash Gnawali, University of Houston
    James Gross KTH, Sweden
    Tian He, University of Minnesota
    Wen Hu, CSIRO, Australia
    Xenofon Koutsoukos, Vanderbilt University
    Bhaskar Krishnamachari, USC
    Antonio Loureiro, UFMG, Brazil
    Luca Mottola, Swedish Institute of Computer Science
    Suman Nath, Microsoft Research
    Bodhi Priyantha, Microsoft Research
    Vijay Raghunathan, Purdue University
    Anthony Rowe, CMU
    Ali H. Sayed, UCLA
    Jacky Shen, Microsoft Research Asia
    Junehwa Song, KAIST, Korea
    John Stankovic, University of Virginia
    Niki Trigoni, Oxford University, UK
    Guoliang Xing, Michigan State University
    Pei Zhang, CMU Silicon Valley
    Yanyong Zhang, Rutgers University  

--
Dr. Anna Frster
Researcher
Networking Laboratory, DTI
University of Applied Sciences of Southern Switzerland
Via Cantonale, Galleria 2
6928 Manno
Switzerland
Tel. + 41 58 666 6502





_______________________________________________
IEEE Communications Society Tech. Committee on Computer Communications
(TCCC) - for discussions on computer networking and communication.
Tccc at lists.cs.columbia.edu
https://lists.cs.columbia.edu/cucslists/listinfo/tccc
 




More information about the TCCC mailing list