Synthetic Insects. Kris Pister. Professor EECS, UC Berkeley Founder & Chief Technologist, Dust Networks

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Transcription:

Synthetic Insects Kris Pister Professor EECS, UC Berkeley Founder & Chief Technologist, Dust Networks

Outline The past Micro-robots Smart Dust The present Smart Dust IoT The future IoT Micro-robots

Micro Robots, 1995 Goal: Make silicon chips that walk. (Richard Yeh)

Smart Dust, 1997

Smart Dust, 2001

U. Michigan, 2010 Wireless intra-ocular pressure sensor 2mm 3!

Autonomous Microrobot (2003) Seth Hollar, Anita Flynn, Sarah Bergbreiter Solar Cells Legs CMOS Sequencer Motors 8.6 mm

COTS Dust 2001 Intel Developers Forum, live demo 800 motes, 8 level dynamic network, Seismic testing demo: real-time data acquisition, $200 vs. $5,000 per node Motes dropped from UAV, detect vehicles, log and report direction and velocity 50 temperature sensors for HVAC deployed in 3 hours. $100 vs. $800 per node. vs.

IoT Hype, 2003 800 700 Units (Millions) 600 500 400 300 200 100 Wi-Fi nodes Handsets Wireless Sensor Nodes Predicted $8.1B market for Wireless Sensor Networks by 2007 0 2003 2004 2005 2006 2007 Source: InStat/MDR 11/2003 (Wireless); Wireless Data Research Group 2003; InStat/MDR 7/2004 (Handsets)

2000--2010 IoT frenzy ~100 startups ~$1B in venture capital Almost no success stories Building a reliable low-power wireless sensor network is hard.

Dust Networks Founded July 2002 Focused on reliability, power consumption Developed TSMP Time Synchronized Mesh Protocol >99.9% reliability Lowest power per delivered packet

Mesh Networking IP Gateway IEEE 802.15.4 Mote Sensor Time Synchronized for low power & scalability All nodes run on batteries, for 5-10 years Channel Hopping and full mesh for reliability 99.999% best effort packet delivery

Emerson Process offerings, 2007

Pharmaceutical Process Monitoring - GE

Smart Building: Vigilent HVAC optimization to conserve energy Wireless temperature sensing Improved control algorithm No new motors/valves/control points 28

Smart Cities: Streetline Networks Wireless sensor node 29

Smart City: Parking, Streetline Networks Wireless sensor node

Find parking, pay, avoid ticket, find car

A decade of standards web-like interaction CoAP Multi-hop Mesh Internet Integration scheduling Low-power reliability simple hardware RPL 6LoWPAN gap 6top IEEE802.15.4e IEEE802.15.4 6TSCH

OpenWSN.berkeley.edu 33 Applications Application CoAP HTTP UDP TCP RPL 6LoWPAN OpenWSN is Cloud-based Wiki and ticketing Source code on GitHub Ported to 10 platforms 6top (6TiSCH) IEEE802.15.4e TSCH IEEE802.15.4 (PHY) Plateformes Application

UCB RF Mote on a Chip (1999) CMOS ASIC 8 bit microcontroller Custom interface circuits 4 External components antenna ~$1 Temp up SRAM inductor Amp ADC Radio ~4 mm^2 ASIC crystal battery

2 chips fabbed in 0.25um CMOS Mote on a chip worked, missing radio RX (Jason Hill) 900 MHz transceiver worked Records set for low power CMOS ADC (Mike Scott) 8 bits, 100kS/s 2uA@1V Microprocessor (Brett Warneke) 8 bits, 1MIP 10uA@1V 900 MHz radio (Al Molnar) 20kbps, bits in, bits out 0.4mA @ 3V 2002 UCB Hardware Results

Vendors selling single-chip motes Atmel Freescale Linear (Dust) Silicon Labs (Ember) ST TI

Single-chip mote, take 2 Goals: Standard CMOS Low power Minimal external components Zero antenna MEMS Temp up SRAM Amp ADC Radio Time AES Location RF crystal RTC crystal battery

Acceleration Sensing Glove, 1999 Accelerometers on fingertips Wireless on wrist Basic keyboard, mouse motions Mouse, keyboard, sign language

GINA 9 axis inertial measurement Ring form factor Ring GINA Mehta, Greenspun, Chraim

Progression Single chip mote Finger tip accelerometers Virtual keyboard

Sarah Bergbreiter, UMD

Rob Wood, Harvard

Michel Maharbiz, Josh Van Kleef, UC Berkeley

Slide 16/20 The MEMS Ionocraft e - e- e- e - e - e - + - V FE V ID The Three Body Attachment reaction dominates at STP:

Slide 19/20 The Future Vision Quadcoptor -esque design, with individual thruster control from either field emission voltage or cathode-anode distance actuation. CMOS/MEMS Control and Sensors 1 2 3 4 Multi-stage Ion Thrusters

Delayed Gratification Nodal CAD For MEMS Wireless Sensor Networks m-robots 1989 How hard can it be? XeF 2 This time for sure!

Evolving information flow in WSN Custom APP APP Business logic DB Manager Router Proprietary network & data fmt. IPv6, native DB fmt. Network stack Serial API Application (socket) Network stack Sensor mp Sensor Application Sensor OpenWSN.berkeley.edu 47