Energy Harvesting for Mobile Computing Joe Paradiso Responsive ...

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Bill Brown Microwave-powered helicopter, 1964 Beaming Power Wireless humidity sensor Martinez, 2002 • Beaming power has a long history (Tesla, etc) • Rectannas can approach 80-90+% efficiency • Low power apps common in everyday environments – RFID (chips use 1 to 100 μW) • RF-powered sensors coming off the horizon – Passive LC and SAW devices, sensor chips – Wireless tire pressure and tire friction sensors – Implantable sensors <strong>for</strong> monitoring in vivo blood pressure RFID Tags
4/04 © MIT-ML Human <strong>Energy</strong> Expenditure People dissipate between 100- 1000 Watts Perhaps one can steal Watt or two? JAP 9
Page 1 and 2: Energy Harvesting for Mobile Comput
Page 3 and 4: Smart Sensors and HCI • Electroni
Page 5 and 6: 4/04 © MIT-ML iSun - 2 Watts Solar
Page 7: Ambient RF • Power density ~ E2 /
Page 11 and 12: In Vivo Fuel Cells Adam Heller, UT
Page 13 and 14: Seiko SII Thermic ® Heat-Powered W
Page 15 and 16: The ETA Autoquartz Self-Winding Ele
Page 17 and 18: The Autoquartz Generator Performanc
Page 19 and 20: 4/04 © MIT-ML Seiko Experimental A
Page 21 and 22: MEMs Driven Condensor Power Supply
Page 23 and 24: 4/04 © MIT-ML Microgenerator Perfo
Page 25 and 26: 4/04 © MIT-ML Commercial Microgene
Page 27 and 28: 4/04 © MIT-ML Reaction Force (% of
Page 29 and 30: Application: Batteryless RF Tag •
Page 31 and 32: Better Generator Integration Jeff H
Page 33 and 34: Trevor Baylis’ Electric Shoe Comp
Page 35 and 36: 4/04 © MIT-ML Active Hydraulic Cho
Page 37 and 38: 150 g, 200 mW, 2 Hz Commercial Acti
Page 39 and 40: 4/04 © MIT-ML Nissho Engineering (
Page 41 and 42: 4/04 © MIT-ML The Electric Bolo
Page 43 and 44: 4/04 © MIT-ML Voltage (V) 14 12 10
Page 45 and 46: 4/04 © MIT-ML Power Harvesting - W
Page 47 and 48: Mobility in Sensor Networks • For
Page 49 and 50: 4/04 © MIT-ML Parasitic Mobility R
Page 51 and 52: 4/04 © MIT-ML Power Harvesting Sum
Page 53 and 54: 4/04 © MIT-ML Humanity’s Destiny

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