IPSN '17
Date: Apr 18, 2017 6:00 am – Apr 21, 2017 5:00 pm
Location: Pittsburgh, PA
The 16th International Conference on Information Processing in Sensor Networks (IPSN '17)
In Conjunction with CPSWeek - https://cpsweek2017.ece.cmu.edu/
The 16th International Conference on Information Processing in Sensor Networks (IPSN'17) 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, data management, distributed algorithms, networks and protocols, Internet of Things, mobile and social sensing, and embedded system design and implementation. Of special interest are contributions at the confluence of a multiple of these areas. New this year, IPSN will have joint panel and/or technical sessions with the IEEE International Conference on Internet-of-Things Design and Implementation (IoTDI'17) to increase cross-pollination of ideas among the attendees.
Like prior years, IPSN'17 will continue its strong focus on algorithms, theory, and systems for information processing using networks of embedded, human-in-the-loop, or social sensors, as well as new hardware and software platforms, design methods, architectures, modeling, implementation, evaluation, deployment experiences, and tools for networked embedded sensor systems and the Internet of Things.
Topics covered include, but are not limited to:
- Sensor data storage, retrieval, processing
- Streaming sensor system tasking and operation
- Coding, compression, and information theory
- Machine learning and deep learning on sensor data
- Sensor tasking, control, and actuation
- Theoretical foundation and fundamental bounds
- Network and system architectures and protocols
- IoT gateway platform architecture and services
- Outdoor, wide-area sensing systems
- Location, time, and other network services
- Programming models, languages, and systems
- Programming models for IoT ensembles
- Embedded systems software frameworks
- Modeling, simulation, and measurement tools
- Operating systems and runtime environments
- User interfaces for sensing apps and systems
- Cloud, mobile, participatory, and social sensing
- Applications in health, wellness & sustainability
- Applications in smart cities and urban health
- Experiences, challenges, comparisons of platforms
- Discovery, coordination, and use of IoT services
- Security and privacy in heterogeneous systems
- IoT reliability, adaptability, and dependability
- Technical assessment of emerging IoT standards
- Wearable systems and data processing algorithms
- Evaluation/deployment of industrial sensor systems
- Sensor-enabled drone platforms and algorithms
Organization Committee
General Chair
- Pei Zhang, Carnegie Mellon University SVC
Program Committee Co-Chairs
- Prabal Dutta, University of Michigan & UC Berkeley
- Guoliang Xing, Michigan State University
Steering Committee
- David Culler, UC Berkeley
- Bhaskar Krishnamachari, University of Southern California
- Jie Liu (Chair), Microsoft Research
- Suman Nath, Microsoft Research
- Anthony Rowe, Carnegie Mellon University
- Niki Trigoni, University of Oxford
- Adam Wolisz, Technische Universität Berlin
- Guoliang Xing, Michigan State University
- Feng Zhao, Haier
- Lin Zhong, Rice University
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The 16th International Conference on Information Processing in Sensor Networks (IPSN '17)
In Conjunction with CPSWeek - https://cpsweek2017.ece.cmu.edu/
The 16th International Conference on Information Processing in Sensor Networks (IPSN'17) 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, data management, distributed algorithms, networks and protocols, Internet of Things, mobile and social sensing, and embedded system design and implementation. Of special interest are contributions at the confluence of a multiple of these areas. New this year, IPSN will have joint panel and/or technical sessions with the IEEE International Conference on Internet-of-Things Design and Implementation (IoTDI'17) to increase cross-pollination of ideas among the attendees.
Like prior years, IPSN'17 will continue its strong focus on algorithms, theory, and systems for information processing using networks of embedded, human-in-the-loop, or social sensors, as well as new hardware and software platforms, design methods, architectures, modeling, implementation, evaluation, deployment experiences, and tools for networked embedded sensor systems and the Internet of Things.
Topics covered include, but are not limited to:
- Sensor data storage, retrieval, processing
- Streaming sensor system tasking and operation
- Coding, compression, and information theory
- Machine learning and deep learning on sensor data
- Sensor tasking, control, and actuation
- Theoretical foundation and fundamental bounds
- Network and system architectures and protocols
- IoT gateway platform architecture and services
- Outdoor, wide-area sensing systems
- Location, time, and other network services
- Programming models, languages, and systems
- Programming models for IoT ensembles
- Embedded systems software frameworks
- Modeling, simulation, and measurement tools
- Operating systems and runtime environments
- User interfaces for sensing apps and systems
- Cloud, mobile, participatory, and social sensing
- Applications in health, wellness & sustainability
- Applications in smart cities and urban health
- Experiences, challenges, comparisons of platforms
- Discovery, coordination, and use of IoT services
- Security and privacy in heterogeneous systems
- IoT reliability, adaptability, and dependability
- Technical assessment of emerging IoT standards
- Wearable systems and data processing algorithms
- Evaluation/deployment of industrial sensor systems
- Sensor-enabled drone platforms and algorithms
Organization Committee
General Chair
- Pei Zhang, Carnegie Mellon University SVC
Program Committee Co-Chairs
- Prabal Dutta, University of Michigan & UC Berkeley
- Guoliang Xing, Michigan State University
Steering Committee
- David Culler, UC Berkeley
- Bhaskar Krishnamachari, University of Southern California
- Jie Liu (Chair), Microsoft Research
- Suman Nath, Microsoft Research
- Anthony Rowe, Carnegie Mellon University
- Niki Trigoni, University of Oxford
- Adam Wolisz, Technische Universität Berlin
- Guoliang Xing, Michigan State University
- Feng Zhao, Haier
- Lin Zhong, Rice University