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WSN

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WSN – PowerPoint PPT presentation

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Title: WSN


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WSN Wireless Sensor Networksand Applications
Dwight Borses Member of the Technical
Staff National Semiconductor, Irvine, CA
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Wireless Sensor NetworksDescription
  • Consists of a large number of sensor nodes
  • Nodes are extremely small, low-cost, low-power
  • Nodes communicate over RF or lasers
  • Network collect environmental data which they
    forward to infrastructure processing nodes
  • Acoustics
  • Light
  • Humidity
  • Temperature
  • Imaging
  • Seismic, etc

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Gather information about unknown area
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Fire Fighting
  • Wearable computing systems that are integrated
    into standard fire-fighting masks show the wearer
    a postage-stamp-size "You Are Here" map of the
    building-floor.
  • The same map can be seen on the Fire Chiefs
    laptop as they coordinate the fire with the
    deployed fire crew.
  • Such tracking allows further coordination with
    the Chief's laptop that monitors the main
    location of fire and smoke. Improved designs of
    wireless smoke and CO alarms are also integral to
    the project.

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Combined Sewer Outflow (CSO)
  • In an estimated 772 U.S. cities in the Midwest,
    Northeast and on West Coast, storm and sanitary
    sewers are connected.
  • Under normal circumstances, waste water traveling
    through the combined systems is diverted to
    sewage treatment plants at a given point along
    the system, while storm water continues on for
    discharge into streams and rivers.
  • During major storms the systems often are
    overloaded and storm water and raw sewage mix
    together.
  • In order to prevent raw sewage from backing up
    into homes and businesses, municipalities often
    direct the excess sewage directly into open
    streams or rivers, thereby creating a CSO event.

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Federal Mandate
  • The Environmental Protection Agency (EPA) has
    recognized the water quality issues resulting
    from CSOs and in 1994 placed all municipalities
    with CSO problems under federal mandate to take
    corrective action.
  • Sewer system separation, which involves the
    construction of new sewers and the redirection of
    storm water into the new sewer, is one solution
    to the problem.
  • However, the high construction costs and serious
    community disruptions involved in this approach
    have made it unfeasible for most municipalities.
  • "It would cost the city of South Bend an
    estimated 200 million, and Indianapolis roughly
    1 billion, to complete sewer system separation,"
    "Just imagine the cost and disruption involved in
    using this approach in a major metropolitan area
    like Boston or New York City."

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WSN to the Rescue?
  • Jeffrey W. Talley, an assistant professor of
    civil engineering and geological sciences, is
    leading a team of researchers in an effort to
    develop a novel technology to address the problem
    of combined sewer outflow (CSO).
  • As an alternative solution, Talley's team has
    proposed addressing the CSO problem through the
    use of embedded wireless sensor networks
    (EmNets).
  • Such networks consist of a series of small,
    playing card-sized sensors controlled by embedded
    micro-processors and run by solar energy.
  • The sensors have antennas attached which enable
    them to exchange information over a wireless
    communication network.

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Detecting a Developing CSO Event
  • The network provides measurements that can be
    accessed by engineers in real time via the
    Internet and used to control a sewer system's
    response to a storm.
  • During a storm, the sensors can detect a
    developing CSO event and indicate where it will
    occur.
  • A series of "smart valves" would then divert
    combined sewage into holding reservoirs along the
    system until water levels return to normal and
    the system can once again safely separate sewage
    from storm water.
  • "This active control allows for the reduction of
    CSO events while making only minor modifications
    into existing sewer infrastructure."

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Infrastructure Contaminant flow monitoring
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UCLA Wildlife Habitat Monitoring
  • Instrumented with cameras and microphones
  • Task is to detect presence of bird and photograph
    it
  • One approach
  • Use microphones to detect birdcall and estimate
    location
  • Then, select a camera that has the bird in field
    of view

Species Detection and Tracking
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Method Accuracy Error Properties Power cost Environment
Active acoustic ranging Sub-cm LOS gaussian, independent of distance NLOS large non-gaussian bias High cost for TX, near passive RX idle Tolerant of many envioronments
Stereo image sensors A few cm LOS angular error is a function of resolution. Detection error is non-gaussian. NLOS N/A If image sensors are distributed, high comm cost
RSSI Feet? Long-term averaging can counteract fading. Indoor multipath problematic Piggybacked on radio TX Best in predictable environments
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Wireless Sensor Networks for Habitat Monitoring
p88-mainwaring.pdf
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UCB Mote
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Lots of Dots
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First-Generation Dust Mote
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Optical Communication UsingPassive Dust Mote
Transmitters
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Optical Communication UsingPassive Dust Mote
Transmitters (cont.)
  • Requires each dust mote to have a line-of-sight
    path to the base station.
  • Uplink transmissions are multiplexed using
    space-division multiplexing.

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Active dust mote transmitter
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Optical Communication UsingActive Dust Mote
Transmitters
  • Base station uses CCD or CMOS camera (up to 1
    Mbps)
  • Using multi-hop routing, not all dust motes need
    to have a line-of-sight path to the base station.

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Two-axis beam steering assembly
  • Beams should have divergence ltlt 1º and be
    steerable over a hemisphere.

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Fiber Coupled Microsphere Laser
All optical fiber delivery of pump power and
extraction of lasing emission ? avoids difficult
fiber-to-chip coupling. Lasing emission in the
1500 nm telecom band ? compatibility with
existing fibercom systems. Tandem laser
oscillators on a single fiber ? potential
application as a multi-wavelength source.
Vahala Group
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Fiber-coupled microsphere laser
Erbium doped silica microsphere
40 mm
Optical fiber taper
Green excited stated emission from fundamental
whispering gallery mode
Vahala Group
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Wisenet_SubSys_Blocks_v2.pdf
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SINA Sensor Information Networking Architecture
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Overlap-Problem
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Response-Implosion-Problem
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ADV new data advertisement REQ request for
data DATA data message
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What, Where, How Perlegos.pdf
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Routing
  • Proactive vs. Reactive
  • proactive continuously evaluate network
    connectivity
  • reactive invoke a route determination procedure
    on-demand.
  • Right balance between proactive and reactive

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Examples
  • Proactive Protocols
  • Destination sequenced distance vector (DSDV)
  • Reactive Protocols
  • Dynamic source routing (DSR)
  • Ad hoc on-demand distance vector routing (AODV)
  • Temporally ordered routing algorithms (TORA)

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Tiny OS
  • Intel Mote software is based on Tiny OS, a
    component-based operating system designed for
    deeply embedded systems that require
    concurrency-intensive operations and which have
    minimal hardware resources.

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TinyDB
  • How do you extract the valuable nuggets of
    information from a sensor network's firehose of
    raw data?
  • Database system developed by CITRIS in
    collaboration with the Intel Research Laboratory
    Berkeley
  • TinyDB is a query processing system for
    extracting information from a network of TinyOS
    sensors.
  • TinyDB provides a simple, SQL-like interface to
    specify the data you want to extract, along with
    additional parameters, like the rate at which
    data should be refreshed -- much as you would
    pose queries against a traditional database.
  • Given a query specifying your data interests,
    TinyDB collects that data from motes in the
    environment, filters it, aggregates it together,
    and routes it out to a PC.
  • TinyDB does this via power-efficient in-network
    processing algorithms.

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Background on CITRIS
  • Governor Gray Davis launched this effort with the
    Center for Information Technology Research in the
    Interest of Society (CITRIS), a California
    partnership of university, industry, and
    government .
  • Centered at UC Berkeley, CITRIS sponsors research
    on issues having major impact on the economy,
    quality of life, and future success of
    California
  • Conserving energy education saving lives,
    property, and productivity in the wake of
    disasters boosting transportation efficiency
    advancing diagnosis and treatment of disease and
    expanding business growth through much richer
    personalized information services.
  • More than 100 faculty members in engineering,
    science, social science, and other disciplines at
    four UC campuses will collaborate with
    researchers at more than 20 supporting companies
    on CITRIS research.

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Thank you!
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