The Cricket LocationSupport System By Min Chen 102803

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The Cricket Location-Support System By: Min Chen 10/28/03

The Cricket Location-Support System By: Min Chen 10/28/03

Goal User Privacy Decentralized administration Network heterogeneity Low cost Room-sized granularity

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

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 Collision of RF transmissions from different beacons ------Randomization Wrong correlation

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

System Parameters Selection use a relatively sluggish RF data transmission rate.

System Parameters Selection use a relatively sluggish RF data transmission rate.

Interference Scenarios RF-A: US-RA n Align the beacons RF-A: US-I n Using RF signal

Interference Scenarios RF-A: US-RA n Align the beacons RF-A: US-I n Using RF signal with long range RF-A: US-RI n Ensure less than 5 beacons within range of each other

Listener Inference Algorithm Majority n Picks the beacon with highest frequency of occurrence Min.

Listener Inference Algorithm Majority n Picks the beacon with highest frequency of occurrence Min. Mean n Selects the beacon with the minimum mean value Min. Mode n 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: Static Performance (Cont)

Experiment: Mobile Performance

Experiment: Mobile Performance

Comments Concerns when apply to sensor network 2 D Constrain Power Consideration Calibration On

Comments Concerns when apply to sensor network 2 D Constrain Power Consideration Calibration On the Transmitter. Kalman Filter for the Mobile Algorithm