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Wireless Sensor Networks in Industry Topics Introduction SensorNet Technology Case Studies Alan Broad, CTO,Crossbow Technology

XBow: Wireless Sensor Networks in Industry by Alan Broad (CTO)

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Page 1: XBow: Wireless Sensor Networks in Industry by Alan Broad (CTO)

Wireless Sensor Networks in Industry

TopicsIntroductionSensorNet TechnologyCase Studies

Alan Broad, CTO,Crossbow Technology

Page 2: XBow: Wireless Sensor Networks in Industry by Alan Broad (CTO)

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San Jose Headquarters

Corporate Overview

Global Leader in Sensory SystemsFounded 1995MEMS-Based Inertial Systems Wireless Sensor Networking

110 Employees World Wide

$25M in Venture CapitalCisco Systems, Intel CorporationMorgenthaler Ventures, Paladin Capital

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Wireless Sensor Network – Architecture

Processor/Radio Board

Sensor Node Sensor Board Intra/Internet

Gateway

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020406080

100120140160

2006 2007 2008 2009 2010

units

(mill

ions

)

ConservativeAggressive

Source: ON World, In-Stat, WTRS, Harbor Research

Wireless Sensor Network Market Forecast

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Market Stages

Pilots 2001-2005Proof-of-ROI$100-$1000/node

Ramp-up 2006-2008Reliability, Integration, Security$10-$100/node

Mass Market 2009-2011Standards, Cost, Size<$10/node

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Why Do Customers Deploy Wireless Sensors?

1) Lower cost of wiring

2) Networking of standalone sensors

3) New deployment paradigms where wiring is not possible

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Reasons/Motivation

Lower cost of wiring$20 to $2000 per foot20% to 80% of the installation time

Assumptions Traditional Sensor NetworksSensor Cost $2,000 $350Data Acquisition Cost $65 $0Wiring Cost $75 $15Cost Per Sensor $2,140 $365

Num Channels 65 65

Total Cost $139,100 $23,725

Illustrates benefit of MEMS + Wireless

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Reasons/Motivation

Networking of stand alone sensors

HVACPhysical Security systemsFire and Safety systemsLighting control

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Reasons/Motivation

New paradigms for sensors where wiring is difficult

Mining operationsConstruction sitesHazardous environmentsLandscape irrigation

Page 10: XBow: Wireless Sensor Networks in Industry by Alan Broad (CTO)

Wireless Sensor Networks – An Introduction

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Convergence of Technologies

Embedded Computing Ubiquitous Wireless

Sensors: Miniaturization, micromachining, and low cost manufacturing leads to smaller sizes, low power, lower costs. Allows us to monitor with higher granularity. Many types or sensors and more on the way.

Smarter, Smaller Sensors

Wireless (RF): Spans a host of technologies including ZigBee and WiFi networks, cellular and satellite communications. Enables a wireless and mobile Internet.

Computing/Internet: Computing power is becoming small and inexpensive enough to add to almost any object. Networks of computers facilitate collaboration through information and resource sharing.

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Wireless Technologies

WAN

LAN

PAN

Low Data Rate High Data Rate

Text Graphics InternetHi-Fi

audioStreaming

videoDigitalvideo

Multi-channel video

From Wireless Sensor Networks by Feng Zhao and Leo Gubias, 2004.

MAN

<1 m

10 m

100 m

Bluetooth2Up to 3 Mbps

Up to 50 km

802.11aUp to 54 Mbps

802.11gUp to 54 Mbps

802.11bUp to 11 Mbps

RFID

WiMax/802.16Up to 75 Mbps

2GGSM/CDMAUp to 64 kbps

3/3.5GUMTS/CDMA2000/TD-SCMA

(384 kbps to over 3 Mbps)

LMDSUp to 38 Mbps

4GUp to 4 MB/sec

Sub-GHzISM

<100 kbps

802.15.4Zigbee250 kbps

Bluetooth1Up to 723 kbps

Ubiquitous Sensor Networks

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Example Application: Physical Security

Hi-Bandwidth Node: Audio,

video

Mobile node: asset and personnel tracking

Multi Node: Light level, magnetic events, tilt, discrete events

Gateway Node: Aggregation, hi speed communication, web server

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A Framework for Sensor Network Platforms

Wireless PlatformsWireless Platforms

Specific PurposeSpecific Purpose Multi PurposeMulti Purpose High BandwidthHigh Bandwidth GatewayGateway

Example name and size “Mote”; 1 cm3 to 10 cm3

Applications Multipurpose sensing and/or data communications relay.

Radio data rate < 100 kbps

MIPS < 10

Flash < 0.5 MB

Energy usage (typ.) 3 V × (10 to 15) mA

Sleep energy (typ.) 1.8 V × 10 μA

RAM < 10 kB

Duty cycle (typ.) 0.5 % to 2 %

“MICA2” by Crossbow

“MICA2DOT” by Crossbow

Battery powered Line powered

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A Framework for Sensor Network Platforms

Wireless PlatformsWireless Platforms

Specific PurposeSpecific Purpose Multi PurposeMulti Purpose High BandwidthHigh Bandwidth GatewayGateway

Example name and size “MICAz”; 1 cm3 to 10 cm3

ApplicationsHigh bandwidth sensing such as image transfer, audio, and vibration.

Radio data rate < 500 kbps

MIPS < 50

Flash < 10 MB

Energy usage (typ.) 3 V × 60 mA

Sleep energy (typ.) 3 V × 100 μA

RAM < 128 kB

Duty cycle (typ.) 5 % to 10 %

“MICAz” and “ iMOTE2” by Crossbow and Intel/Crossbow

Battery powered Line powered

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High Performance iMOTEz hardware platform

PXA 271 or 273 CPUPXA 271 or 273 CPU•• 13/104 MHz13/104 MHz•• 256k SRAM256k SRAM•• 0/32MB SDRAM0/32MB SDRAM•• 32MB FLASH32MB FLASH

802.15.4 radio802.15.4 radio•• Up to100m rangeUp to100m range

Power subsystemPower subsystem•• Regulated supplyRegulated supply•• LiLi--Ion battery chargerIon battery charger

Value componentsValue components•• Security coprocessorSecurity coprocessor

•• Root certificateRoot certificate•• EncryptionEncryption

•• RF locationRF location•• Scalable 32b CPU&DSPScalable 32b CPU&DSP

Basic connectorBasic connector•• UART, IUART, I22C, SPIC, SPI•• GPIOGPIO•• PowerPower•• SDIOSDIO

•• FLASHFLASH•• BT radioBT radio•• 802.11 radio802.11 radio

Advanced connectorAdvanced connector•• Camera interfaceCamera interface•• High speed I/OHigh speed I/O•• Audio interfaceAudio interface•• USB host/clientUSB host/client•• PowerPower

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MICA OEM Stamp

Full wireless node platforms (MICA) at Low-Cost 916/868 Mhz (1mW, 100mW, 1W transmit power)Mesh networking firmwareSmall OEM Form Factor

(Left) Standard US postage stamp. (Right) MICAz Postage Stamp

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Why Mesh ?

Radio contour plots shows that received radio strength varies significantly from idealized pattern

Ref: D. Ganesan, B. Krishnamachari, A. Woo, D. Culler, D. Estrin, S. Wicker, “UCLA Computer Science Technical Report UCLA/CSD-TR 02-0013,”

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Why Mesh ?

Static links show variability in receive strength over timeLocal null effects, people, etc., influence the quality of link

Ref: UC Berkeley

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WSN RequirementsRadios

(315, 433, 868, 902-928)Mhz, 2.4Ghz Multiple transmit powers (1mW,100mW,1W)

Network Topologies Star (hub and spoke)Hybrid Mesh (high powered and low powered nodes)All nodes are routers (long battery life)

Multiple Data Flow SupportAny-to-base (upstream)Base-to-any (downstream)

Multiple Levels of Quality of ServiceBest effortLink-to-link ack/nackEnd-to-end ack/nack

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Wireless Sensor Networks

TopicsThe Physical InternetTechnology BackgroundExamples/Case Studies

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Case Studies

1. Environmental Monitoring for Seedling Nurseries2. Water Irrigation3. Predictive Maintenance of Large Machinery/Equipment4. Temperature Monitoring for Electric Heat Tracing5. Power Transmission Line Monitoring6. Health Club Equipment Monitoring and Membership

Services

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20 Million Seed Management

Task:Manage 20 million fast growing seeds annually

Issue:Seed dormancy depends on a complex combination of water, light, temperature, gasses, mechanical restrictions, seed coats, and hormone structures

Southeastern US growing regions

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Tree Growth Rate Variability

Old MethodTrust natureMonitor local atmospheric conditions

Sensor Network Way:Monitor soil temperature and moisture at various locationsAdjust irrigation schedule accordingly

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Network Characteristics

Sensor Network Characteristics2-3 sensors per acre Average distance between nodes about 400’50-100 acres totalLow data rate

Page 26: XBow: Wireless Sensor Networks in Industry by Alan Broad (CTO)

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Case Studies

1. Environmental Monitoring for Seedling Nurseries2. Water Irrigation3. Predictive Maintenance of Large Machinery/Equipment4. Temperature Monitoring for Electric Heat Tracing5. Power Transmission Line Monitoring6. Health Club Equipment Monitoring and Membership

Services

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Golf Course Water Irrigation

Task:Improve quality of golf course greensReduce water usage

Issue:Greens quality depends on complex factors including soil type, soil moisture and other parameters.

Southeastern US growing regions

Page 28: XBow: Wireless Sensor Networks in Industry by Alan Broad (CTO)

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Green Quality Variability

Old MethodGreen keepers monitor each green for quality.Monitor local atmospheric conditions

Sensor Network Way:Monitor soil moisture and soil temperature of each green.Adjust irrigation schedule accordingly

Page 29: XBow: Wireless Sensor Networks in Industry by Alan Broad (CTO)

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Network Characteristics

Sensor Network TopologyOne underground sensor at each green communicating with above ground nodes.High power backbone mesh to relay data10-30 above ground mesh nodes9-18 underground nodes1Watt radios

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Case Studies

1. Environmental Monitoring for Seedling Nurseries2. Water Irrigation3. Predictive Maintenance of Large Machinery/Equipment4. Temperature Monitoring for Electric Heat Tracing5. Power Transmission Line Monitoring6. Health Club Equipment Monitoring and Membership

Services

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Customer Case Study – BP

WhatVibration monitoring on oil tankers Manual sensor reading replaced with wireless sensor network

ResultsLower maintenance costProof of reliability of wireless sensor network in harshest environmentRecognized with BP Helios Award

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Benefits

Much more effective condition monitoring regimeContinuous visibility to the engine equipment and conditionReduced costs and errors compared to manually data collection

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Network Characteristics

NodesHigh performance node (ImoteZ) for 100Khz data sampling and large data storage.Mesh wakes-up and forms 1-2 times per day.Bulk transfer of large data sets to base station.Wifi mesh to relay data from WSN to server.

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Case Studies

1. Environmental Monitoring for Seedling Nurseries2. Water Irrigation3. Predictive Maintenance of Large Machinery/Equipment4. Temperature Monitoring for Electric Heat Tracing5. Power Transmission Line Monitoring6. Health Club Equipment Monitoring and Membership

Services

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Electric Heat Tracing

System ComponentsHeater CablesComponentsPower distributionControls AccessoriesInsulationDesign ServiceConstructionMaintenance

Page 36: XBow: Wireless Sensor Networks in Industry by Alan Broad (CTO)

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RTD

RTDLead Wire “Cold Lead”

Heat Tracing

Controller

3 Phase Power

Insulated Pipe

Elements of a Electric Heat Tracing Circuit

Page 37: XBow: Wireless Sensor Networks in Industry by Alan Broad (CTO)

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20 cktMesh

RTD/VRC

20 cktMesh

RTD/VRC

20 cktMesh

RTD/VRC

20 cktMesh

RTD/VRC

#1 Target: Eliminate RTD Lead Wiring

Replacement Cost:is 20 x Mote Costplus 1 Gateway

Page 38: XBow: Wireless Sensor Networks in Industry by Alan Broad (CTO)

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WSN Characteristics

50-100 units per site with 3 RTDs per unitTypically 100’-200’ between units.1 mW radios, 916MhzMinimum 5 years battery.Upstream communication onlyData transmitted every 5 minutes

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Case Studies

1. Environmental Monitoring for Seedling Nurseries2. Water Irrigation3. Predictive Maintenance of Large Machinery/Equipment4. Temperature Monitoring for Electric Heat Tracing5. Power Transmission Line Monitoring6. Health Club Equipment Monitoring and Membership

Services

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High Voltage Transmission Line Monitoring

ObjectiveLocate failures of high voltage power lines.Monitor the electric and magnetic fields at each high voltage pole..Detect failure and relay information to control station

Page 41: XBow: Wireless Sensor Networks in Industry by Alan Broad (CTO)

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WSN Characteristics

Linear array: relay data 20-40 hops to a base station.500-1000’ between hop100mW to 1W radiosMinimum 5-10 years battery life with solar.

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Case Studies

1. Environmental Monitoring for Seedling Nurseries2. Water Irrigation3. Predictive Maintenance of Large Machinery/Equipment4. Temperature Monitoring for Electric Heat Tracing5. Power Transmission Line Monitoring6. Health Club Equipment Monitoring and Membership Services

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Customer Case Study – Life Fitness

TaskImprove health club profitability by increasing membership retention.Use wireless network for fitness equipment to download and monitor personalized workoutsUse wireless network to monitoring equipment usage

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Customer Case Study – Life Fitness

Old MethodMember’s fill out work out cards after exercising on each machine.User’s responsible to determine amount of exercise, each workout.No feedbackClub owner’s don’t know which pieces of equipment are more heavily used

Sensor Network Way:

Work out information for each user is wirelessly transmitted to a machine before workout.Actual workout information transmitted back to server after the workoutUser’s get immediate feedback on their workoutClub owners know usage of each machine

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Customer Case Study – Life Fitness

WSN Characteristics :Limited power for radio communication on all machines.Some machines are always powered – form high speed communication backboneSome machines are battery powered – act as leaf nodes.More downstream communication than upstream.