ZebraNet - PowerPoint PPT Presentation

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ZebraNet

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Forms tight-knit uni-male multi-female 'harems' Possible to add collar just to the male ... Zebra movement based on actual moving patterns ... – PowerPoint PPT presentation

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Title: ZebraNet


1
ZebraNet
  • Rolf Kristensen Torben Jensen
  • s022361 s022359

2
Introduction to ZebraNet
  • Tracking of Zebra behaviour at Mpala Research
    Center, Kenya
  • Wireless sensor nodes
  • Sensor network
  • High mobility within the sensor nodes and the
    base station

3
Goals
  • GPS position samples taken every three minutes
  • Activity log taken for 3 minutes every hour
  • 1 year of operation
  • Operation over a wide range of open land
  • No fixed base stations
  • High data homing rate (close to 100 pct.)
  • A weight of max 1,4 to 2,3 kg

4
A day in the life of a zebra
  • Two kinds of Zebras
  • Grevys zebra
  • Forms large loosely-bounded herds
  • Plains zebra
  • More common
  • Forms tight-knit uni-male multi-female harems
  • Possible to add collar just to the male
  • From time to time meet up with other zebras to
    form herds, for an example at water holes

5
A day in the life of a zebra
  • Movement patterns
  • Grazing
  • Graze-walking
  • Fast-moving
  • Zebras spend most day grazing and head for water
    about once a day
  • Zebras tend not to have long periods of
    motionless sleep

6
Collar design
  • Generally weight and power consumption are very
    important issues
  • Two kinds of radio
  • Short range (100 m) for communicating between the
    nodes
  • Long range (8 km) for communicating with the base
    station

7
Collar design
  • Energy issues
  • Battery recharged by solar power
  • Battery must be able to operate five days without
    being recharged
  • Traditional acid batteries are too heavy, so a
    lithium-ion battery must be used
  • Space is conserved using a system, where the
    nodes delete old data as newer arrives

8
Collar design
  • 30 position samples per hour, 24 hours a day
  • 6 hours for searching for peer nodes and
    transferring data over the short-range radio
  • 3 hours for searching for the base station using
    long-range radio (overlapping with short range to
    minimize CPU usage)

9
Possible network protocols
  • Flooding network protocol
  • Simple
  • Given that the Zebras move extensively there is a
    high data homing rate
  • Large amount of data (requires large bandwidth,
    large storage and much energy)

10
Possible network protocols
  • History based network protocol
  • Works with a system ranking nodes depending on
    whether they have been close to the base station
    or not
  • Data is transfered to the neighbour that has the
    highest hierachy ranking
  • If the network changes too dynamically this does
    not work well
  • If sucessfull, the requirements for bandwidth,
    storage and energy are lower

11
Experimental results
  • Tests performed in software
  • Simulating 400 square km map
  • Zebra movement based on actual moving patterns
  • Each zebra independently selects speed and
    direction
  • Once per day the zebra goes to get water

12
Experimental results
  • Direct or indirect connectivity
  • Direct connectivity requires a radio range of 12
    km for 100 pct. network coverage
  • Indirect connectivity requires a radio range of 2
    km for 100 pct. network coverage
  • Thus indirect connectivity is necessary, since
    energy consumption is heavier the longer the
    radio range is

13
Experimental results
  • Protocol evaluations, given that there are no
    constraints
  • Direct transmission is considered, but requires
    long data range (11 km)
  • Flooding and history both require only 6 km radio
    range to achieve 100 pct. sucess rate

14
Experimental results
  • Protocol evaluations given constraints
  • Storage constraints
  • Flood and history perform better than direct
    transmission.
  • History performs the best, because of storage
    limitations for flooding
  • Bandwidth constraints
  • With low radio range, and thus few neighbour
    nodes, flooding performs best, but as radio range
    increases history performs better due to less
    redundant data

15
Experimental results
  • Energy tradeoffs
  • At long ranges flooding is very energy expensive,
    as it sends vast amounts of redundant data
  • History fares a lot better, being only 1.04 times
    as expensive as direct transmission at a radio
    range of 15 km
  • Flooding only makes sense with low radio ranges
    and low connectivity

16
Experimental results
  • Final design choices
  • Short-range radio
  • 100 m
  • 19,2 Kbps
  • Long-range radio
  • 8 km
  • 2,4 Kbps

17
Experimental results
  • Final design choices
  • 640 KB flash memory
  • There can be stored 300 collar-days
  • 66 ampere-hours energy consumption per month
  • Simulation results in a 83 pct. success rate
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