The cricket location support system
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The Cricket Location-Support System. By: Min Chen 10/28/03 . Goal. User Privacy Decentralized administration Network heterogeneity Low cost Room-sized granularity. System Architecture. Beacon: Disseminate the string of space information about a geographic space to listeners.

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Presentation Transcript

Goal

  • User Privacy

  • Decentralized administration

  • Network heterogeneity

  • Low cost

  • Room-sized granularity


System architecture
System Architecture

  • Beacon:

    Disseminate the string of space information about a geographic space to listeners.

  • Listener: Infer its current location from the set of beacons .

Approach

Use combination of RF and ultrasound to provide a location-support service to users.


Related problem and method
Related Problem and Method

  • Collision of RF transmissions from different beacons

    ------------Randomization

  • Wrong correlation of the RF data of one beacon with the ultrasonic signal of another

    ------ System parameters

    ------ Listener Inference Algorithms



Interference scenarios
Interference Scenarios

  • RF-A:US-RA

    • Align the beacons

  • RF-A:US-I

    • Using RF signal with long range

  • RF-A:US-RI

    • Ensure less than 5 beacons within range of each other


Listener inference algorithm
Listener Inference Algorithm

  • Majority

    • Picks the beacon with highest frequency of occurrence

  • MinMean

    • Selects the beacon with the minimum mean value

  • MinMode

    • Compute the per-beacon statistical mode over the past n samples.


Implementation beacon positioning and configuration
Implementation :Beacon Positioning and Configuration


Implementation ultrasound deployment
Implementation :Ultrasound Deployment


Experiment boundary performance
Experiment: Boundary Performance


Experiment static performance
Experiment: Static Performance


Experiment: Static Performance (Cont)


Experiment mobile performance
Experiment: Mobile Performance


Comments
Comments

Concerns when apply to sensor network

2D Constrain

Power Consideration

Calibration On the Transmitter.

Kalman Filter for the Mobile Algorithm


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