microsoft research faculty summit 2008. liqian luo networked embedded computing microsoft research

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Microsoft Research Faculty Summit 2008

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Page 1: Microsoft Research Faculty Summit 2008. Liqian Luo Networked Embedded Computing Microsoft Research

Microsoft Research Faculty Summit 2008

Page 2: Microsoft Research Faculty Summit 2008. Liqian Luo Networked Embedded Computing Microsoft Research

SenseWeb and SensorMap

Liqian LuoNetworked Embedded ComputingMicrosoft Research

Page 3: Microsoft Research Faculty Summit 2008. 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 managementData publication and global sharingSpatio-temporal data exploration

SwissEx: weather stations

Taiwan: rain sensors

Citysense: urban sensor network

Asia-Pacific Environmental

Sensor Grid

Page 4: Microsoft Research Faculty Summit 2008. Liqian Luo Networked Embedded Computing Microsoft Research

Challenges

HeterogeneitySensor hardwareResource capability: bandwidth, power, computationWillingness to shareMeasurement accuracy

ScalabilityStreaming all raw data from all sensors to all applications not feasible

Security and PrivacyData Verifiability, Trust

Page 5: Microsoft Research Faculty Summit 2008. Liqian Luo Networked Embedded Computing Microsoft Research

SenseWeb Features (1/3)

User contributed sensors and dataEach scientist deploys at small scale; everyone can use shared instrumentationLarger spatio-temporal coverage than any single systemCosts amortized over multiple experimentsSame datasets used for multiple analysesFeatures:

Flexibility in creating new sensor types/schemersFlexibility in registering sensors and data sources

Page 6: Microsoft Research Faculty Summit 2008. Liqian Luo Networked Embedded Computing Microsoft Research

SenseWeb Features (2/3)

Real-time data presentationEnable real-time monitoring of sensorsFeatures:

Snapshot data view to inspect the latest data entryTime series chart to observe data trend in real-time

Page 7: Microsoft Research Faculty Summit 2008. Liqian Luo Networked Embedded Computing Microsoft Research

SenseWeb Features (3/3)

In-situ data analysisDiscover data correlations, dependencies, and distributions via one clickFeatures:

Comparison chart to view correlations of multiple sensors (such as temperature, humidity)Contour maps overlaid on top of terrain maps to view spatial distributionsVisualize spatio-temporal distribution by overlaying data from different times

Page 8: Microsoft Research Faculty Summit 2008. Liqian Luo Networked Embedded Computing Microsoft Research

System Architecture of SenseWeb

Coordinator

Application Manager

Sensor Manager

User Manager

Sensor Gateway:

GSN (EPFL)

Transformer: Iconizer

Transformer: Graph

Generator

Sensor Gateway: DataHub

(MSR)

Transformer:Map

Generator

Transforme X Application XD

ata

Tran

sformers

Co

ordina

tor

Sen

sor

Ga

tew

ays

Sen

sors

App

lications

Transforme Y Application Y