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, 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 Information Processing (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 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
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, Palo Alto Research Center
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