Wireless Sensor Networks for Habitat Monitoring

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Wireless Sensor Networks for Habitat Monitoring

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Title: Wireless Sensor Networks for Habitat Monitoring


1
Wireless Sensor Networksfor Habitat Monitoring
  • Alan Mainwaring1
  • Joseph Polastre2
  • Robert Szewczyk2
  • David Culler1,2
  • John Anderson3
  • 1 Intel Research Laboratory at Berkeley
  • 2 University of California, Berkeley
  • 3 College of the Atlantic

2
Introduction
  • Application Driven System Design, Research, and
    Implementation
  • Parameterizes Systems Research
  • Localization
  • Calibration
  • Routing and Low-Power Communications
  • Data Consistency, Storage, and Replication
  • How Can All of these Services and Systems Be
    Integrated into a Complete Application?

3
Great Duck Island
  • Breeding area for Leachs Storm Petrel (pelagic
    seabird)
  • Ecological models may use multiple parameters
    such as
  • Burrow (nest) occupancy during incubation
  • Differences in the micro-climates of active vs.
    inactive burrows
  • Environmental conditions during 7 month breeding
    season

4
Application
gt 1000 ft
5
Sensor Network Solution
6
Outline
  • Application Requirements
  • Habitat Monitoring Architecture
  • Sensor Node
  • Power Management
  • Sensor Patch
  • Transit Network
  • Wide Area Network and Disconnected Operation
  • Sensor Data
  • System Analysis
  • Real World Challenges

7
Application Requirements
  • Sensor Network
  • Longevity 7-9 months
  • Space Must fit inside Small Burrow
  • Quantity Approximately 50 per patch
  • Environmental Conditions
  • Varying Geographic Distances
  • Inconspicuous Operation
  • Reduce the observer effect
  • Data
  • As Much as Possible in the Power Budget
  • Iterative Process

8
Application Requirements
  • Predictable System Behavior
  • Reliable
  • Meaningful Sensor Readings
  • Multiple Levels of Connectivity
  • Management at a Distance
  • Intermittent Connectivity
  • Operating Off the Grid
  • Hierarchy of Networks / Data Archiving

9
Habitat Monitoring Architecture
10
Sensor Node Mica
  • Hardware
  • Atmel AVR w/ 512kB Flash
  • 916MHz 40kbps Radio
  • Range max 100 ft
  • Affected by obstacles, RF propogation
  • 2 AA Batteries
  • Operating 15mA
  • Sleep 50mA
  • Software
  • TinyOS / C Applications
  • Power Management
  • Digital Sensor Drivers
  • Remote Management Diagnositcs

11
Sensor Node Power Management
  • AA Batteries have 2500 mAh capacity
  • Mica consumes 50mA in sleep 1.2 mAh/day

Mica Expected Lifetime
Node Activity Days Years
Mica Always On 7 0.1
Mica Always Sleeping 2081 5.7
Expected Lifetime (days)
Number of Operating Hours per Day
12
Sensor Node Power Management
Operation nAh
Transmitting a packet 20.000
Receiving a packet 8.000
Radio Listening for 1ms 1.250
Operating Sensor for 1s (analog) 1.080
Operating Sensor for 1s (digital) 0.347
Reading a Sample from the ADC 0.011
Flash Read Data 1.111
Flash Program/Erase Data 83.333
  • Target Lifetime 7-8 months
  • Power Budget 6.9mAh/day
  • Questions
  • What can be done?
  • How often?
  • What is the resulting sample rate?

Operation Operating Time per Day Duty Cycle Sample Rate
Always Sleep 24 hours 0 0 samples/day
mCPU on 52 minutes 3.61 0 samples/day
Radio On (Listen) 28 minutes 1.94 0 samples/day
Sample All Sensors 21 minutes 1.45 630 samples/day
Transmit Samples 20 minutes 1.38 600 samples/day
13
Sensor Node Mica Weather Board
  • Digital Sensor Interface to Mica
  • Onboard ADC
  • Designed for Low Power Operation
  • Individual digital switch for each sensor
  • Designed to Coexist with Other Sensor Boards
  • Hardware Enable Protocol to obtain exclusive
    access to connector resources

14
Sensor Node Mica Weather Board
Sensor Accuracy Interchange Max Rate Startup Current
Photo N/A 10 2000 Hz 10 ms 1.235 mA
I2C Temp 1 K 0.2 K 2 Hz 500 ms 0.150 mA
Pressure 1.5 mbar 0.5 10 Hz 500 ms 0.010 mA
Press Temp 0.8 K 0.24 K 10 Hz 500 ms 0.010 mA
Humidity 2 3 500 Hz 500 ms 0.775 mA
Thermopile 3 K 5 2000 Hz 200 ms 0.170 mA
Thermistor 5 K 10 2000 Hz 10 ms 0.126 mA
15
Sensor Node Packaging
  • Parylene Sealant
  • Acrylic Enclosures

16
Sensor Patch Network
  • Nodes
  • Approximately 50
  • Half in burrows, Half outside
  • RF unpredictable
  • Burrows
  • Obstacles
  • Drop packets or retry?
  • Transmit Only Network
  • Single Hop
  • Repeaters
  • 2 hop initially
  • Most Energy Challenged
  • Adheres toPower Budget

17
Transit Network
  • Two implementations
  • Linux (CerfCube)
  • Relay Mote
  • Antennae
  • No gain antenna (small)
  • Omnidirectional
  • Yagi (Directional)
  • Implementation of transit network depends on
  • Distance
  • Obstacles
  • Power Budget
  • Duty cycle of sensor nodes dictates transit
    network duty cycle

18
Transit Network
  • Renewable Energy Sources
  • CerfCube needs 60Wh/day
  • Assuming an average peak of 1 direct sunlight
    hour per day
  • Panel must be 924 in2 or 30 x 30 for a 5 x
    5 device!
  • A mote only needs 2Wh per day, or a panel 6 x 6

19
Base Station / Wide Area Network
  • Disconnected Operation and Multiple Levels of
    State
  • Laptop
  • DirecWay Satellite WAN
  • PostgreSQL
  • 47 uptime
  • Redundancy and Replication
  • Increase number of points of failure
  • Remote Access
  • Physical Access Limited
  • Keep state all areas of network
  • Resiliency to
  • Disconnection
  • Network Failures
  • Packet Loss
  • Potential SolutionKeep Local CachesSynchronizat
    ion

20
Sensor Data Analysis
21
Sensor Data Analysis
Outside Burrow
Inside Burrow
22
System Analysis
  • Power Management Goals
  • Calculated 7 months, expect 4 months
  • Battery half-life at 1.2V
  • Predictable Operation
  • Observed per node constant throughput, loss
  • 739,846 samples as of 9/23, network is still
    running

Battery Consumption at Node 57
Packet Throughput and Active Nodes
23
Real World Experiences
  • System and Sensor Network Challenges
  • Low Power Operation (low duty cycle)
  • Affects hardware and software implementation
  • Multihop Routing
  • Allows bigger patches
  • Route around physical obstacles
  • Must have 1 operating duty cycle
  • In Situ Retasking/Reconfiguration
  • Let biologists interactively change data
    collection patterns
  • Not Implemented due to conservative energy
    implementation
  • Lack of Physical Access
  • Remote management
  • Disconnected operation
  • Fault tolerance
  • Reliance on other people and their networks
  • Physical Size of Device
  • Affects microcontroller selection, radio,
    practical choice of power sources

24
Real World Experiences
  • Failures
  • Extended Loss of Wide Area Connectivity
  • Unreliable Reboot Sequence in Windows
  • Solderless Connections Fail (expansion/contraction
    cycles)
  • Node Attrition (Petrels are not mote neutral)
  • Environmental Conditions (50km/hr gale winds
    knock over equipment)
  • Lack of post-mortem diagnositics

25
Conclusions
  • First long term outdoor wireless sensor network
    application
  • Application driven sensor network design
  • Defines requirements and constraints on core
    system components (routing, retasking, fault
    tolerance, power management)

26
(No Transcript)
27
Backup Slides
28
Mote 18 Outside
29
Mote 26 Burrow 115a
30
Mote 53 Burrow 115b
31
Mote 47 Burrow 88a
32
Mote 40 Burrow 88b
33
Mote 39 Burrow 84
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