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SenseWeb: A Global Peer-Produced Sensor Network for Real-Time Environmental Monitoring

SenseWeb is an innovative platform designed for sharing sensor data worldwide, enabling researchers to collaboratively utilize a diverse range of sensors. It facilitates sensor registration, metadata management, and global data sharing, allowing for comprehensive spatio-temporal data exploration. With capabilities like real-time data presentation, in-situ analysis, and flexible sensor type registration, it breaks down barriers in environmental monitoring. Overcoming challenges such as heterogeneity, accuracy, and privacy, SenseWeb aims to provide a scalable solution for scientific research and data analysis.

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SenseWeb: A Global Peer-Produced Sensor Network for Real-Time Environmental Monitoring

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  1. SenseWeb and SensorMap Liqian Luo Networked Embedded Computing Microsoft Research

  2. Overview • SenseWeb is a peer-produced sensor network to enable sharing of sensors and data across the globe • Sensor registration and metadata management • Data publication and global sharing • Spatio-temporal data exploration Asia-PacificEnvironmental Sensor Grid SwissEx: weather stations Citysense: urban sensor network Taiwan: rain sensors

  3. Challenges • Heterogeneity • Sensor hardware • Resource capability: bandwidth, power, computation • Willingness to share • Measurement accuracy • Scalability • Streaming all raw data from all sensors to all applications not feasible • Security and Privacy • Data Verifiability, Trust

  4. SenseWeb Features (1/3) • User contributed sensors and data • Each scientist deploys at small scale; everyone can use shared instrumentation • Larger spatio-temporal coverage than any single system • Costs amortized over multiple experiments • Same datasets used for multiple analyses • Features: • Flexibility in creating new sensor types/schemers • Flexibility in registering sensors and data sources

  5. SenseWeb Features (2/3) • Real-time data presentation • Enable real-time monitoring of sensors • Features: • Snapshot data view to inspect the latest data entry • Time series chart to observe data trend in real-time

  6. SenseWeb Features (3/3) • In-situ data analysis • Discover data correlations, dependencies, and distributions via one click • Features: • Comparison chart to view correlations of multiple sensors (such as temperature, humidity) • Contour maps overlaid on top of terrain maps to view spatial distributions • Visualize spatio-temporal distribution by overlaying data from different times

  7. System Architecture of SenseWeb

  8. demo RFP ProjectsSwissEx

  9. video SensorMap

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