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

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senseweb and sensormap

SenseWeb and SensorMap

Liqian Luo

Networked Embedded Computing

Microsoft Research

overview
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

challenges
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
senseweb features 1 3
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
senseweb features 2 3
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
senseweb features 3 3
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
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