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Challenges in Sensor Informatics: Integrating Uncertainty and Adaptability

Explore the unique aspects of sensor informatics, including operational constraints, uncertainty management, adaptive systems, and more. Addressing challenges in data collection, processing, and integration with traditional sources. Learn about critical socioeconomic issues and interaction interfaces. Discover takeaways and future directions in sensor technology.

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Challenges in Sensor Informatics: Integrating Uncertainty and Adaptability

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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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