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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



Rfp projects swissex

demo

RFP ProjectsSwissEx


Sensormap

video

SensorMap


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