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The Cricket Location-Support System By: Min Chen 10/28/03
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Goal User Privacy Decentralized administration Network heterogeneity Low cost Room-sized granularity
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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. Use combination of RF and ultrasound to provide a location-support service to users. Approach
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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
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use a relatively sluggish RF data transmission rate. System Parameters Selection
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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
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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.
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Implementation : Beacon Positioning and Configuration
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Implementation : Ultrasound Deployment
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Experiment: Boundary Performance
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Experiment: Static Performance
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Experiment: Static Performance (Cont)
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Experiment: Mobile Performance
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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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