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Sensor Informatics Participants

Sensor Informatics Participants. A. Labrinidis & A. Stefanidis J. Srivastava, C. Faloutsos, P. Bauer, S. Zdonik, M. Cherniack, P. Chrysanthis, V. Megalooikonomou, V. Kalogeraki, D. Gunopulos, B. Prabhakaran, S. Das, W.-C. Lee, E. Rudensteiner, A. Ailamaki,

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Sensor Informatics Participants

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  1. Sensor Informatics Participants A. Labrinidis & A. Stefanidis J. Srivastava, C. Faloutsos, P. Bauer, S. Zdonik, M. Cherniack, P. Chrysanthis, V. Megalooikonomou, V. Kalogeraki, D. Gunopulos, B. Prabhakaran, S. Das, W.-C. Lee, E. Rudensteiner, A. Ailamaki, F. Makedon, Y. Aloimonos, O. Wolfson, L. Gruenwald, S. Son, V. Zadorozhny, W. Aref, H. Kargupta, J. Yang, W. Du, A. Ouksel, J. Han, P. Schenermann, Y. Wu.

  2. Sensor Informatics A person walks into a bar… …is brought to the hospital on time. Unique aspects: • Collection of devices, configured to serve a common goal (capturing snapshots of reality) • Operational/functional constraints • Unreliability and uncertainty • Semi-infinite streams • …

  3. Sensor Informatics: Challenges • Strong space and time component • Adaptive systems • Failure management • Acquisitional query processing • Reconfiguration capability • Localized / distributed processing • Query interfaces (declarative?) • Computation in the presence of uncertainty in data and topology. • Quality of service and resource trade-off (managing precision and resources)

  4. Sensor Informatics: Challenges+ • Context awareness (units part of network) • Timely dissemination and processing • Summarization / Integration • Seamless integration of data with traditional data sources • Learn, model, predict, monitor, repeat ad infinitum • Uncertainty (the only certain thing) • Estimate and communicate • Model and tolerate • Latency

  5. Socioeconomic Issues • Privacy, privacy, privacy • Security • Ability for large scale deployment • Living with sensors, living without Interaction: HSNI • Pervasive computing • Active vs. passive networks • Query interface • Seamless integration with existing interfaces

  6. Sensor Informatics Take-Aways • Unique characteristics: • Unreliability • Adaptability • Constraints • Signal-based vs. Symbol-based processing • Input / Output Fora: • NSF funding: from cutting to cross-cutting (ITR funding?) • Community building: Sensor Informatics Conference?

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