NDLI: Adaptive Linear Filtering Compression on realtime sensor networks

Content Provider	IEEE Xplore Digital Library
Author	Kiely, A.B. Mingsen Xu Wen-Zhan Song Renjie Huang Shirazi, B.
Copyright Year	2009
Description	Author affiliation: Sensorweb Research Laboratory, Washington State University, Vancouver, 98686, USA (Mingsen Xu; Wen-Zhan Song; Renjie Huang; Shirazi, B.) \|\| Jet Propulsion Laboratory, California Institute of Technology, Pasadena, 91109, USA (Kiely, A.B.)
Abstract	We present a lightweight lossless compression algorithm for realtime sensor networks. Our proposed Adaptive Linear Filtering Compression (ALFC) algorithm performs predictive compression, using adaptive linear filtering to predict sample values followed by entropy coding of prediction residuals, encoding a variable number of samples into fixed-length packets. Adaptive prediction eliminates the need to determine prediction coefficients a priori and, more importantly, allows compression to dynamically adjust to a changing source. The algorithm requires only integer arithmetic operations and thus is compatible with sensor platforms that do not support floating-point operations. Significant robustness to packets losses is provided by including small but sufficient overhead data to allow samples in each packet to be independently decoded. Real-world evaluations on seismic data from a wireless sensor network testbed show that ALFC provides more effective compression and uses less resources than some other lossless compression approaches such as S-LZW. Experiments in a multi-hop sensor network also show that ALFC can significantly improve raw data throughput and energy efficiency.
Starting Page	1
Ending Page	10
File Size	2119790
Page Count	10
File Format	PDF
ISBN	9781424433049
DOI	10.1109/PERCOM.2009.4912775
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-03-09
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Maximum likelihood detection Compression algorithms Adaptive systems Prediction algorithms Filtering algorithms Entropy coding Encoding Floating-point arithmetic Robustness Decoding
Content Type	Text
Resource Type	Article

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