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Sensor Networks: Next Generation Problems

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System should be error-free and robust. Impervious to communications failures ... Generally means non-volatile buffers, auto-reconnects, auto-restarts, etc. ... – PowerPoint PPT presentation

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Title: Sensor Networks: Next Generation Problems


1
Sensor Networks Next Generation Problems
SAMSI Sensor Network Workshop 14-15 October 2003
  • Frank Vernon
  • Scripps Institution of Oceanography
  • University of California at San Diego

2
Open problems
  • How can I acquire desired RT data?
  • How can I discover/access desired RT data?
  • How can I share/integrate the data?
  • Can I integrate dynamically?
  • Can I share with other disciplines?
  • Can I integrate seamlessly with data from other
    disciplines
  • Can I integrate with archived data?

3
Sensor Networks Desires
  • Timing
  • Critical issue for any modal analysis or array
    processing analysis
  • Need to synchronize across all sensors
  • Communications systems
  • Power lt 1W for remote sites
  • IP
  • Aggregate data rate 1 Mbit/sec
  • Scalable for array apertures from 100s meters
    gt megameters

4
What is needed for a real-time data exchange
systems
  • System should be data neutral
  • Variable packet size
  • All formatting at application level
  • System should allow data query functions
  • System should allow dynamic updates of instrument
    metadata
  • metadata not embedded in every data packet
  • Packet descriptions should be available in
    real-time
  • Self-describing

5
What is needed for a real-time data exchange
systems
  • System should be network transparent with respect
    to read/write/local/remote access
  • System should be error-free and robust
  • Impervious to communications failures
  • Impervious to computer shutdown-startup
  • Generally means non-volatile buffers,
    auto-reconnects, auto-restarts, etc.
  • Interoperable with other real-time data exchange
    systems and new real-time data sources

6
Design Goals for FutureReal-Time Sensor Networks
  • capture, process, control for quality, and
    integrate real-time data streaming from different
    sources--collected for different purposes, on
    different time and spatial scales, and measured
    by different methods
  • make heterogeneities in platforms, physical
    location and naming of resources, data formats
    and data models, supported programming
    interfaces, and query languages transparent to
    the user
  • adapt to new and changing user requirements for
    data and data products

7
Design Goals for FutureReal-Time Sensor Networks
  • dynamically reconfigure with the addition or
    removal of observational equipment and/or
    scientific instrumentation
  • self-healing topology
  • decentralized resource registration
  • provide Internet access to integrated data
    collections along with visualization, data
    mining, analysis, and modeling capabilities

8
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