sensor networks: next generation problems frank vernon scripps institution of oceanography...
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![Page 1: Sensor Networks: Next Generation Problems Frank Vernon Scripps Institution of Oceanography University of California at San Diego SAMSI Sensor Network Workshop](https://reader038.vdocument.in/reader038/viewer/2022110322/56649d3e5503460f94a173b6/html5/thumbnails/1.jpg)
Sensor Networks: Next Generation Problems
Frank VernonScripps Institution of OceanographyUniversity of California at San Diego
SAMSI Sensor Network Workshop14-15 October 2003
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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?
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Sensor Networks Desires• Timing
– Critical issue for any modal analysis or array processing analysis
– Need to synchronize across all sensors• Communications systems
– Power < 1W for remote sites– IP– Aggregate data rate ≥ 1 Mbit/sec– Scalable for array apertures from
100s meters => megameters
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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
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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
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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;
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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
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