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Slide 1 - The Cricket Location-Support System By: Min Chen 10/28/03
Slide 2 - Goal User Privacy Decentralized administration Network heterogeneity Low cost Room-sized granularity
Slide 3 - 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
Slide 4 - 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
Slide 5 - use a relatively sluggish RF data transmission rate. System Parameters Selection
Slide 6 - 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
Slide 7 - 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.
Slide 8 - Implementation : Beacon Positioning and Configuration
Slide 9 - Implementation : Ultrasound Deployment
Slide 10 - Experiment: Boundary Performance
Slide 11 - Experiment: Static Performance
Slide 12 - Experiment: Static Performance (Cont)
Slide 13 - Experiment: Mobile Performance
Slide 14 - Comments Concerns when apply to sensor network 2D Constrain Power Consideration Calibration On the Transmitter. Kalman Filter for the Mobile Algorithm