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A higher capability sensor node platform suitable for demanding applications
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Source
Information Processing In Sensor Networks archive
Proceedings of the 6th international conference on Information processing in sensor networks table of contents
Cambridge, Massachusetts, USA
SESSION: Hardware platforms table of contents
Pages: 138 - 147  
Year of Publication: 2007
ISBN:978-1-59593-638-X
Authors
Thomas Hammel  Fantastic Data, San Francisco, California
Mark Rich  Fantastic Data, San Francisco, California
Sponsors
ACM: Association for Computing Machinery
SIGBED: ACM Special Interest Group on Embedded Systems
Publisher
ACM  New York, NY, USA
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ABSTRACT

A novel, autonomous, fully distributed sensor node platform designed and built for a continuous, wide-area surveillance and security system is described. Sensor nodes cooperate to detect and track intruders in the surveilled area. Analysis and simulation of the surveillance system indicates that while considerably more capability is required in many aspects (processing power, memory, latency, communication range, and so on) than is currently available in common "mote" designs, performance, energy consumption, node lifetime, and ease of use are enhanced by this approach. Because higher capability components are used, more careful scheduling and power control software is required to mitigate the impact on energy consumption. A full software suite was developed and instrumented to record true system usage during operation of the surveillance system. Measurements of actual usage have been made on a moderately oversized prototype platform. A second generation platform has been designed based on the measured usage data. The software suite is being ported to this platform. Lifetime of the second generation platform running the demanding surveillance application is expected to be about 90 days on 2 AA batteries (3000mAh at 1.5V). Applications with less stringent requirements should enjoy much longer lifetimes.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
Thomas Hammel: colleagues
Mark Rich: colleagues