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SIGMOD
2004
ACM

Compressing Historical Information in Sensor Networks

11 years 12 months ago
Compressing Historical Information in Sensor Networks
We are inevitably moving into a realm where small and inexpensive wireless devices would be seamlessly embedded in the physical world and form a wireless sensor network in order to perform complex monitoring and computational tasks. Such networks pose new challenges in data processing and dissemination because of the limited resources (processing, bandwidth, energy) that such devices possess. In this paper we propose a new technique for compressing multiple streams containing historical data from each sensor. Our method exploits correlation and redundancy among multiple measurements on the same sensor and achieves high degree of data reduction while managing to capture even the smallest details of the recorded measurements. The key to our technique is the base signal, a series of values extracted from the real measurements, used for encoding piece-wise linear correlations among the collected data values. We provide efficient algorithms for extracting the base signal features from the ...
Antonios Deligiannakis, Yannis Kotidis, Nick Rouss
Added 08 Dec 2009
Updated 08 Dec 2009
Type Conference
Year 2004
Where SIGMOD
Authors Antonios Deligiannakis, Yannis Kotidis, Nick Roussopoulos
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