Ultra-low power wireless The changing landscape of WSN Kris Pister Prof. EECS, UC Berkeley (Founder...

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Ultra-low power wireless The changing landscape of WSN Kris Pister Prof. EECS, UC Berkeley (Founder & CTO, Dust Networks)

Transcript of Ultra-low power wireless The changing landscape of WSN Kris Pister Prof. EECS, UC Berkeley (Founder...

Page 1: Ultra-low power wireless The changing landscape of WSN Kris Pister Prof. EECS, UC Berkeley (Founder & CTO, Dust Networks)

Ultra-low power wirelessThe changing landscape of WSN

Kris Pister

Prof. EECS, UC Berkeley(Founder & CTO, Dust Networks)

Page 2: Ultra-low power wireless The changing landscape of WSN Kris Pister Prof. EECS, UC Berkeley (Founder & CTO, Dust Networks)

Outline

• Technology status

• Standards update

• Implications

Page 3: Ultra-low power wireless The changing landscape of WSN Kris Pister Prof. EECS, UC Berkeley (Founder & CTO, Dust Networks)

Autonomous Microsensor Networks with Optical Communication Links

• PI: Kris Pister

• Source: Hughes (MICRO)

• Funding: $25k, $10k matching, 0% ovhd,

• Duration: 1 year

• Comments: Collaboration w/ Prof. Joe Kahn under separate MICRO

IAB 1997

Page 4: Ultra-low power wireless The changing landscape of WSN Kris Pister Prof. EECS, UC Berkeley (Founder & CTO, Dust Networks)

COTS DustGOAL:

• Get our feet wet

RESULT:

• Cheap, easy, off-the-shelf RF systems

• Fantastic interest in cheap, easy, RF:– Industry

– Berkeley Wireless Research Center

– Center for the Built Environment (IUCRC)

– PC Enabled Toys (Intel)

• Fantastic RF problems

• Optical proof of concept

IAB Spring 2000

Page 5: Ultra-low power wireless The changing landscape of WSN Kris Pister Prof. EECS, UC Berkeley (Founder & CTO, Dust Networks)

IAB Spring 2003 – Al Molnar87

5m

650mOscillator

Divider

Transmitter

Receiver (in fab)

Inductor Chip

900MHz Transmitter

Page 6: Ultra-low power wireless The changing landscape of WSN Kris Pister Prof. EECS, UC Berkeley (Founder & CTO, Dust Networks)

UCB Hardware Results ~2003

• 2 chips fabbed in 0.25um CMOS– “Mote on a chip” worked, TX only

– 900 MHz transceiver worked

• Records set for low power CMOS– ADC, Mike Scott, M.S.

• 8 bits, 100kS/s

• 2uA@1V

– Microprocessor, Brett Warneke, PhD.• 8 bits, 1MIP

• 10uA@1V

– 900 MHz radio – Al Molnar M.S.• 100kbps, “bits in, bits out”

• 20 m indoors

• 0.4mA @ 3V

Page 7: Ultra-low power wireless The changing landscape of WSN Kris Pister Prof. EECS, UC Berkeley (Founder & CTO, Dust Networks)

2.4 GHz Transceiver Front End

• Cook et al., ISSCC 2006

• Active Area: 0.8mm2 • Zero external RF

components

Page 8: Ultra-low power wireless The changing landscape of WSN Kris Pister Prof. EECS, UC Berkeley (Founder & CTO, Dust Networks)

Noise Factor vs. Power Consumption

CC2420 NF, 55mW

Page 9: Ultra-low power wireless The changing landscape of WSN Kris Pister Prof. EECS, UC Berkeley (Founder & CTO, Dust Networks)

~2 mm^2 ASIC

Mote on a Chip? (circa 2001)

• Goals:– Standard CMOS– Low power– Minimal external components

uP SRAM

RadioADC

Temp

Ampinductor

crystal

battery

antenna

~$1

Page 10: Ultra-low power wireless The changing landscape of WSN Kris Pister Prof. EECS, UC Berkeley (Founder & CTO, Dust Networks)

Single-chip 802.15.4 motes

• Atmel

• Chipcon (TI)

• Ember

• Freescale

• Jennic

• Oki

• …

Page 11: Ultra-low power wireless The changing landscape of WSN Kris Pister Prof. EECS, UC Berkeley (Founder & CTO, Dust Networks)

System Cost, 2005

• Single-chip mote– Processor, memory

– 2.4G radio (not 802.15.4)

– Software?

Single-chip $1.50

Passives $0.20

PCB Assembly & Test $0.20

Battery $0.10

Total $2

Page 12: Ultra-low power wireless The changing landscape of WSN Kris Pister Prof. EECS, UC Berkeley (Founder & CTO, Dust Networks)

Radio Performance

200k Bit rate (bps)100k 300k

I RX (

mA

)

5

10

20

15

25

X cc1000

Molnar 04 (0.4mA)

X

X cc2420

XOtis 05 (0.4mA)

Cook 06 (300 W)

X

With software:10 years D cell

With software:10 years coin cell

Page 13: Ultra-low power wireless The changing landscape of WSN Kris Pister Prof. EECS, UC Berkeley (Founder & CTO, Dust Networks)

~4 mm^2 ASIC

Mote on a Chip

• Goals:– Standard CMOS– Low power– Minimal external components

uP SRAM

RadioADC

Temp

Ampinductor

crystal

battery

antenna

Security

Location

Time

Zero

Page 14: Ultra-low power wireless The changing landscape of WSN Kris Pister Prof. EECS, UC Berkeley (Founder & CTO, Dust Networks)

RF Geolocation Performance

• 1 m of measurement error = 3.3 ns

Page 15: Ultra-low power wireless The changing landscape of WSN Kris Pister Prof. EECS, UC Berkeley (Founder & CTO, Dust Networks)

Ranging in a Coal Mine Adit (Tunnel)

0 2 4 6 8 10 12 14 16 180

10

20

30

40

50

60

70

Distance (m)

Tim

e of

Flig

ht (n

s)

1 m Error

2 m Error

Ideal

Measured Data

Each point uses channel information derived from frequency hopping data

Page 16: Ultra-low power wireless The changing landscape of WSN Kris Pister Prof. EECS, UC Berkeley (Founder & CTO, Dust Networks)

Die area, power• ADC

– Zero area, zero power• Digital

– 32 bit uP 1mm2 0.25mm2– Crypto - ~ uP– Dedicated datapath?– 0.25mW/MHz 50uW/MHz

• Memory– ROM & Flash 128kB/mm2 0.5MB/mm2– RAM 16kB/mm2 64kB/mm2– ~mW/MHz ~ uW/MHz

• RF– 2mm2 1mm2– 10s of mW 100s of uW

• Leakage– 10s uA @ 85C? <1uA @ 85C (circuit solutions; processes get worse)

Page 17: Ultra-low power wireless The changing landscape of WSN Kris Pister Prof. EECS, UC Berkeley (Founder & CTO, Dust Networks)

Conclusion

• Today’s motes have more computational horsepower than many/most(/all?) of the first machines on the internet.

• Today’s motes have radios that have comparable performance to 1G cell phones.

• Network protocols that take advantage of these revolutions will have roughly the same hardware cost as those that don’t.

Page 18: Ultra-low power wireless The changing landscape of WSN Kris Pister Prof. EECS, UC Berkeley (Founder & CTO, Dust Networks)

Cost of Sensor Networks

Time

$

Computing Power

Sensors

Installation, Connection and Commissioning

Mesh Networking

Page 19: Ultra-low power wireless The changing landscape of WSN Kris Pister Prof. EECS, UC Berkeley (Founder & CTO, Dust Networks)

Oil Refinery – Double Coker Unit

• Scope limited to Coker facility and support units spanning over 1200ft

• Expanded to 27 units, implemented 14 to start

• No repeaters were needed to ensure connectivity

• Gateway connected via Ethernet port in control room to process control network

• Electrical/Mechanical contractor installed per wired practices

GW

Page 20: Ultra-low power wireless The changing landscape of WSN Kris Pister Prof. EECS, UC Berkeley (Founder & CTO, Dust Networks)

Chevron’s Richmond Refinery

1 km

Page 21: Ultra-low power wireless The changing landscape of WSN Kris Pister Prof. EECS, UC Berkeley (Founder & CTO, Dust Networks)

Standards

• IEEE 802.15.4

• Zigbee

• ISA

• HART

Page 22: Ultra-low power wireless The changing landscape of WSN Kris Pister Prof. EECS, UC Berkeley (Founder & CTO, Dust Networks)

Low Data Rate WPAN Applications (Zigbee)

RESIDENTIAL/LIGHT

COMMERCIAL CONTROL

CONSUMER ELECTRONICS

TVVCRDVD/CDremote

securityHVAClighting controlaccess controllawn & garden irrigation

PC & PERIPHERALS

BUILDING AUTOMATION

securityHVAC

AMRlighting controlaccess control

mousekeyboardjoystick

PERSONAL HEALTH CARE

patient monitoring

fitness monitoring

INDUSTRIALCONTROL

asset mgtprocess control

environmentalenergy mgt

Page 23: Ultra-low power wireless The changing landscape of WSN Kris Pister Prof. EECS, UC Berkeley (Founder & CTO, Dust Networks)

Zigbee

• Zigbee 1.0 ratified in 2004 • Great marketing tool, but…

– Nothing interoperable yet– “Zigbee” products typically aren’t

• Everything shipped to date is IEEE 802.15.4 + proprietary MAC

• Lost industrial automation in 2005• Losing building automation in 2006?• Fighting Zensys in home automation• Latest: Zigbee Pro

– “The stack that works” – Hot debate on frequency hopping

Page 24: Ultra-low power wireless The changing landscape of WSN Kris Pister Prof. EECS, UC Berkeley (Founder & CTO, Dust Networks)

ISA SP100

• http://www.ISA.org/community/SP100• SP100.11

– Safety critical– Feedback control

• SP100.14– Monitoring– Latency-tolerant alarming

• CFP Conference last week

– ~25 proposals

– 2 universities• both from PRC

Page 25: Ultra-low power wireless The changing landscape of WSN Kris Pister Prof. EECS, UC Berkeley (Founder & CTO, Dust Networks)

ISA SP-100 Proposals

• Still too early to call, but…– Winners

• 802.15.4 • TDMA• Frequency hopping

– Losers• RF site surveys• Point-to-point communication• Narrow band, high power• Zigbee

– Walking dead• Single-hop to wired infrastructure• Star-connected networks

• Truth and light appears to be winning!– Truth: the guys running the plants– Light: time synchronized, TDMA, channel hopping, mesh routing

• Tough battles– “We are at war with Dust Networks in industrial automation”

Page 26: Ultra-low power wireless The changing landscape of WSN Kris Pister Prof. EECS, UC Berkeley (Founder & CTO, Dust Networks)

Star-mesh or Star-LAN

Q: Star-connectivity is known to be death for reliability, so why do it?

A: Don’t trust the motes, don’t think that they have the power to be routers.

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Star-mesh or Star-LAN

What if WiFi gets jammed (easier to do than freq-hopping 802.15.4)?What if you lose ethernet? (power failure, cable, …)

Page 28: Ultra-low power wireless The changing landscape of WSN Kris Pister Prof. EECS, UC Berkeley (Founder & CTO, Dust Networks)

Mesh, with backbone

Use powered infrastructure when you have it.Lower latencyLower power

But, if it goes away…

Page 29: Ultra-low power wireless The changing landscape of WSN Kris Pister Prof. EECS, UC Berkeley (Founder & CTO, Dust Networks)

Mesh, with backbone

Assume that the motes are smart, and that their radios are good.Use protocols that leverage those capabilities:

Time-synchronized, TDMA, Channel Hopping MACMesh routing

Page 30: Ultra-low power wireless The changing landscape of WSN Kris Pister Prof. EECS, UC Berkeley (Founder & CTO, Dust Networks)

Wireless Cost Profiles

Time

Cost

Wired System Cost

Star Wireless + Service

Self-Organizing Wireless + Simple Radios

Reduced Wiring Costs

Service Curve: Site Surveys and Expert Tuning

Technology Curve: Self-Organizing and Self-Optimizing

New Automation

Opportunities

“There’s good money to be made in RF site surveys” - Name withheld to protect the guilty

Page 31: Ultra-low power wireless The changing landscape of WSN Kris Pister Prof. EECS, UC Berkeley (Founder & CTO, Dust Networks)

Wireless HART

• Highway Addressable Remote Transducer• 20 years old• HART today:

– Wired industrial automation protocol– 1200 bps digital communication on top of 4-20mA

analog communication line– Shipping ~3Million/year– ASP ~$1k– Installation cost (wiring dominated): ~$10k?

• Wireless HART group formed in 2004– 802.15.4 based– Time synchronized, TDMA, channel hopping, mesh

routing

Page 32: Ultra-low power wireless The changing landscape of WSN Kris Pister Prof. EECS, UC Berkeley (Founder & CTO, Dust Networks)

Wireless HART

• Again, still too early to tell, but…

Truth and light appear to have won

Page 33: Ultra-low power wireless The changing landscape of WSN Kris Pister Prof. EECS, UC Berkeley (Founder & CTO, Dust Networks)

Implicatons for Industrial Automation

• Cost of installation:sensor was 10:1, going to 1:10

• Size of sensor market will increase

• “New” requirement on sensors to be low energy per sample

• New applications possible– Condition-based maintenance– Tracking

Page 34: Ultra-low power wireless The changing landscape of WSN Kris Pister Prof. EECS, UC Berkeley (Founder & CTO, Dust Networks)

Implications

• “For several years I was a skeptic, but I now believe that wireless mesh sensor networks will have higher reliability than wired sensors.”– Refinery technologist

• “Yup.” - ksjp

Page 35: Ultra-low power wireless The changing landscape of WSN Kris Pister Prof. EECS, UC Berkeley (Founder & CTO, Dust Networks)

Next generation capabilities• Coming soon:

– 32 bit ARM; 1MB flash; 64kB RAM– 2.4GHz RF, bps to Mbps, ~1nJ/bit– ~ s synchronization across network– ~ 1 meter location accuracy– < 10mm2

– 1A in-network average current consumption

• Baby version– 32 bit ARM; 128kB Flash; 8kB RAM– Same RF, same power– 2mm2?