Sensor Network Research and Applications

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Sensor Network Research and Applications

• Venkatesh Subramaniam Viswanath

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• NETWORK ORGANIZATION
• Sensor Coverage and Deployment A. Howard and S.
  Poduri (USC)
• Sensor Node Capabilities, Coverage, Constrained
  Coverage
• Sensor Self-Calibration
• Sensor Failure Modalities, Fault-tolerant
  Continuous Valued Sensors, Distributed In-Situ
  Sensor Calibration
• Node Localization
• Time Synchronization S. Ganeriwal (UCLA), J.
  Elson (Microsoft), M. Srivastava (UCLA)
• Energy Conservation at the Network Layers J.
  Heidemann and W. Ye (USC)
• Radio Transmit Power Control, Medium Access
  Control (MAC), Topology Control Protocols
  Between MAC and Routing, Routing, Energy
  Conservation
• Multi-hop Routing
• Tree-Based Routing, Forest-Based Routing,
  Resilient Multi-path Routing
• Reliable Transmission and Congestion Control O.
  Akan (GIT)
• Reliable Transmission, Congestion Control
• Energy Harvesting A. Kansal and M. Srivastava
  (UCLA)
• Circuit Design, Harvesting Aware Power
  Management, Distributed Harvesting
• Sensor Coordinated Actuation G. Sukhatme (USC)
• Mobile Robot-Assisted Sensor Network Deployment
  and Repair, Using a Sensor Network to Mediate
  Robot Task-Allocation, Coupling Local Sampling
  and Robotic Mobility to Detect Properties of a
  Scalar Field
• Sensor Network Tomography J. Zhao (Berkeley), R.
  Govindan (USC)

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• Middleware For Sensor Networks
• Enabling data-centric and event-centric
  communications
• W. Heinzelmann, A. Murphy, M. Perillo
  (Rochester)
• Architectures to Support QoS and Resource
  Management
• Storage issues in Sensor Networks
• D. Ganesan (Massachusetts), B. Greenstein
  (UCLA)
• Data storage design considerations, Taxonomy of
  Data Storage Solutions, Distributed storage and
  search mechanisms, Distributed multi-resolution
  storage and search
• A Whole-Network Approach to Sensor Network
  Programming
• M. Welsh (Harvard) and S. Madden (MIT)
• Abstract Regions Energy-aware collective
  communications for macroprogramming , TinyDB,
  TASK
• Sensor Network Security, Privacy and
  Fault-tolerance
• R. Han (Colorado)
• Security Threats in Wireless Sensor Networks, WSN
  Design Goals/Challenges, Secure and
  Fault-Tolerant WSN Routing, Pair-wise Key
  Management, Data Aggregation, Physical
  Protection, Privacy and Anonymity

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Sensor Network Applications
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http//www.intel.com/research/exploratory/smartnet
works.htm
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IrisNetCarnegie Mellon University

• A software infrastructure for this platform that
  lets users query globally distributed collections
  of high-bit-rate sensors powerfully and
  efficiently
• Example wide-area sensing applications
• Parking space finder
• Watch-my-child.
• Watch-my-aging-parent Enable the elderly to live
  at home while being monitored as needed.
• Epidemic early warning systems Discover
  concentrations of sneezing, fevers, etc.
• Homeland security
• Computer network monitoring
• Planet-wide sensor observatories, e.g., for
  near-shore oceanography

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Proactive Computing for the Aging
Intel demo ftp//download.intel.com/research/expl
oratory/health_tech.wmv
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CareNetUniversity of Washington

• support networks of friends, families, and
  professionals who contribute to the care of an
  elder -- identified the characteristics and needs
  of those involved in the care -- the network
  members.
• examined and analyzed existing communication
  methods and information types and flows of the
  care network members
• Online CareNet Display demo

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Networked Infomechanical Systems UCLA
Wind River Canopy Crane Research Facility Met
Node (vertical) temperature, humidity, PAR
(light intensity) NIMS node (horizontal) An
imager with pan and tilt actuators The nodes
communicated with each other over a wireless
interface and to a gateway located in the crane
site dry shack.  This gateway connected through
the internet to a server at UCLA.  Solar panels
located on the cable harvest energy, storing
excess energy in a battery bank located on the
forest floor.  A power distribution cable
distributes power to the NIMS node for continuous
operation.
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Fire Rescue/SmokeNet UC Berkeley

• Based on the Crossbow Sensor Node platform
• Cheap, Low Power wireless sensors
• Provides location of fire to
• Incident Commander
• Traffic Light Nodes
• Provides rough location of fire personnel
• Traffic lights provide information on status of
  each room to firefighters and victims

PhD research of Joel Wilson with Andrew Redfern,
Colin Patton, Will Watts
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Chicago FD SmokeNet

• SmokeNet
• 10 smoke detectors
• Unboxed Numbers
• 15 stoplight nodes
• Red Boxed Numbers
• SmokeNet currently supports up to ten
  firefighters in one room
• ICS
• Smoke Location
• Firefighter ID and location
• Text Messaging

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FireEye Personal Display

• FireEye Display Goals
• Easy to use
• Rugged
• Inexpensive
• Low maintenance
• Not cluttered or distracting
• Final Implementation
• Firefighter location/orientation
• Buddy location
• Fire status
• Text messages
• Remaining air

PhD research of Joel Wilson with Andrew Redfern,
Colin Patton, Will Watts
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Defense Systems Self-Healing Minefield

• an intelligent, dynamic obstacle that responds to
  an enemy breaching attempt by physically
  reorganizing.
• consists of surface scattered antitank mines that
  can detect an enemy attack of the minefield and
  respond autonomously, by having a fraction of the
  mines move to heal the breach.
• Online Demo http//www.darpa.mil/ato/programs/SHM
  /index.html

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Sensor WebsJPL and NASA

• A new type of Geographical Information System
  (GIS) that can be embedded into an environment to
  monitor and control it.
• A spatially distributed, synchronous instrument
  that can react and adapt to changing
  environmental conditions
• Sensor Webs Deployment
• Huntington Botanical Gardens plant life and
  microclimates
• Sevilleta, New Mexico Sevilleta National
  Wildlife Refuge
• Antarctica Accurate Snow Data
• Kennedy Space Center Space Shuttlelaunch site
• Streaming, Real-Time Data Graphs
• Animation of Potential Sensor Web Mars Mission

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• Sensor Networks Applications
• Habitat monitoring using Zebranet Design and
  Experience M. Martonosi (Princeton)
• SensorWebs in the Wild K. Delin (Jet Propulsion
  Laboratories)
• Workplace Applications of Sensor Networks W.
  Conner (Intel), J. Heidemann (USC), L.
  Krishnamurthy (Intel), X. Wang (USC), M. Yarvis
  (Intel)
•  Aging Boomers Technology to the Rescue?Intel
  and BP
• Smart Surrogates