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Omid Abari Deepak Vasisht, Dina Katabi, Anantha Chandrakasan An E-Toll Transponder Network for Smart Cities
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Electronic Toll Transponders 80% of the cars in US have them Some states are making it mandatory
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Opportunities 1 2 3 4 5 7 6 Localization
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Opportunities Adjust traffic-light timing Smart street-parking Detect red-light runner One infrastructure for many smart services
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Challenge: No MAC to Prevent Collision Physical Isolation Interference Wireless query One car responds Wireless query All cars respond at the same time What can we do?
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I don't care 'Cause I've never been so high Follow me to the dark Let me take you past our satellites
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Caraoke A system that delivers smart services using existing e-toll transponders despite interference Software-Hardware solution: – Count cars – Localize cars – Decode transponders Built and evaluated on our campus streets with existing e-toll transponders
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Count cars: How to count despite interference? Localize cars Decode transponders
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Counting Despite Interference Time-Domain Freq-Domain Carrier Data Spike
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Counting Despite Interference Time-Domain Freq-Domain Carrier Data Spike Caraoke can count transponders despite interference Toll transponders have difference in their carrier frequency
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Count cars Localize cars: How to localize despite interference? Decode transponders
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Localizing Transponders Localization requires knowing the channel How to extract channels in the presence of interference?
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Localizing Transponder Time-Domain Freq-Domain Spike Use the channel to find the Angle-of-Arrival
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Localizing Transponder
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Cars are always on the road plane Intersect spatial angle with road plane Hyperbola Intersects hyperbolas across multiple readers to find the exact location of the car
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Count cars Localize cars Decode transponders: How to decode despite interference?
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Solution: Coherent Combining Real Imag
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Solution: Coherent Combining Real Imag
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Solution: Coherent Combining Real Imag ++= Caraoke uses channel information to combine responses coherently and decode the ID
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Custom Hardware Design Self-Sustaining – Harvest Solar Energy
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Custom Hardware Design Self-Sustaining – Harvest Solar Energy Low-Cost – Replace TX chain with simple PLL Power: 9mW; Cost: $40
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Experimental Results
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Evaluation MIT campus- four streets Caraoke readers were placed on 12.5-feet poles Standard E-ZPass transponders on the cars
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Accuracy of Counting Transponders Higher accuracy and significantly lower cost than camera-based systems [R.L., JEI’13; J.M. Urbana‘08 ]
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Accuracy of Localizing Transponders Caraoke enables enough accuracy to detect occupied versus available parking spots
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Speed Detection Accuracy Caraoke detects the speed to within 8%
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Required Time for Decoding Caraoke enables real-time smart city services
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Related Work Wireless Interference – They require changing transmitter or leverage intrinsic asynchrony in protocols (S. G. Sigcomm’12, J. W. Sigcomm’08, etc.) Automated Payment – They require a gate and physical isolation (McDonald’s drive-through) Smart Parking – They require sensors on parking spots or Wi-Fi devices in cars (Street Line, S. M. MobiSys’10, S. N. Mobicom’13, etc.)
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Conclusion A system for delivering smart services using existing e-toll transponders Can count, localize and decode transponders in the presence of interference We built it into a small PCB
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Omid Abari Deepak Vasisht, Dina Katabi, Anantha Chandrakasan An E-Toll Transponder Network for Smart Cities
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