The International Conference on Information Processing in Sensor
Networks (IPSN) is a leading, single-track, annual forum on research
in wireless, embedded, and networked 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, mobile and social sensing, and embedded systems
design. Of special interest are contributions at the confluence of a
multiple of these areas.

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 the program chairs with
questions or clarifications. As an example of these different
emphases, results focused on the analysis and processing aspects of
data collected from deployments should be submitted to the IP track,
while studies on the hardware and software platforms and tools used
for deployment should be submitted to the SPOTS track.

The IP track focuses on algorithms, theory, and systems for
information processing using networks of embedded, human-operated, or
social sensors. Topics covered in the IP track include, but are not
limited to:
- Innovative applications and deployment experiences
- Mobile, participatory, and social sensing
- 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

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 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
- Innovative sensing platforms including crowd sourcing
- User interfaces for sensing applications and systems

ORGANIZING COMMITTEE
General Chair:
Tarek Abdelzaher, UIUC
TPC Co-Chair (IP Track):
Kay Romer, University of Lubeck
TPC Co-Chair (SPOTS Track):
Raj Rajkumar, CMU
Demo Chair:
Luca Mottola, Politecnico di Milano (Italy) and Swedish Institute of
Computer Science
Poster Chair:
Tian He, University of Minnesota
Workshop/Tutorial Chair:
Aman Kansal, Microsoft Research
Publications Chair:
Raghu Ganti, IBM Research
Finance/Sponsorship Chair:
Akos Ledeczi, Vanderbilt University
Web Chair:
Hengchang Liu, UIUC
Publicity Co-Chairs:
Ying Zhang, Google
Li Cui, ICT CAS
Martina Maggio, Lund
PhD Forum Co-Chairs:
Polly Huang, NTU

STEERING COMMITTEE
Feng Zhao, Microsoft Research Asia (Chair)
Tarek Abdelzaher, University of Illinois at Urbana-Champaign
Deborah Estrin, University of California - Los Angeles
Leo Guibas, Stanford University
William Kaiser, University of California - Los Angeles
P.R. Kumar, Texas A&M University
Jose Moura, Carnegie Mellon University
Jack Stankovic, University of Virginia
Janos Sztipanovits, Vanderbilt University
_______________________________________________
Authors mailing list
Authors@inf.ufsc.br
http://listas.inf.ufsc.br/mailman/listinfo/authors