Real-Time Data Management on a Wireless Sensor Network

Chris Roadknight, Laura Parrott, Nathan Boyd and Ian W. Marshall
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Chris Roadknight: Rigel House, Adastral Park, Suffolk, UK
Laura Parrott: Computer Science Department, University of Kent Canterbury, Kent

International Journal of Distributed Sensor Networks, 2005, vol. 1, issue 2, 215-225

Abstract: A multi-layered algorithm is proposed that provides a scalable and adaptive method for handling data on a wireless sensor network. Statistical tests, local feedback, and global genetic style material exchange ensure limited resources such as battery and bandwidth which are used efficiently by manipulating data at the source and important features in the time series are not lost when compression needs to be made. The approach leads to a more ‘hands off’ implementation which is demonstrated by a real world oceanographic deployment of the system.

Keywords: AI; sensor networks; oceanography (search for similar items in EconPapers)
Date: 2005
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Persistent link: https://EconPapers.repec.org/RePEc:sae:intdis:v:1:y:2005:i:2:p:215-225

DOI: 10.1080/15501320590966468

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