Multivariate stream data reduction in sensor network applications

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3823 LNCS, Issue , 2005, Pages 198-207

  Seo, Sungbo ^a   Kang, Jaewoo ^b   Ryu, Keun Ho ^a  

^a Chungbuk National University   (South Korea)

^b North Carolina State University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DATA ACQUISITION; DATA REDUCTION; TIME SERIES ANALYSIS; WAVELET TRANSFORMS; WIRELESS TELECOMMUNICATION SYSTEMS; EMBEDDED SYSTEMS; INTELLIGENT BUILDINGS; RADIO FREQUENCY IDENTIFICATION (RFID); SENSOR NETWORKS; SINGULAR VALUE DECOMPOSITION; UBIQUITOUS COMPUTING; WAVELET ANALYSIS; WAVELET DECOMPOSITION;

HIERARCHICAL CLUSTERING; STREAM DATA REDUCTION TECHNIQUES; SUBSTANTIAL IMPACT; SYNTHETIC TIME SERIES;

SENSORS; DATA REDUCTION;

HIER-ARCHICAL CLUSTERING; INPUT STREAMS; REDUCTION METHOD; REDUCTION TECHNIQUES; SENSOR NETWORK APPLICATIONS; SENSOR NETWORK DESIGN; SYNTHETIC-TIME; WAVELET-BASED METHODS;

EID: 33744916281     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11596042_21     Document Type: Conference Paper

References (19)

1. J. M. Hellerstein, W. Hong, and S. R. Madden.: The Sensor Spectrum: Technology, Trends, and Requirements. In SIGMOD Record (2003) 22-27
2. A. Deligiannakis, Y. Kotidis and N. Roussopoulos.: Compressing Historical Information in Sensor Networks. In SIGMOD (2004) 527-538
3. A. Deligiannakis, Y. Kotidis, and N. Roussopoulos.: Hierarchical in-Network Data Aggregation with Quality Guarantees. In EDBT (2004) 658-675
4. M. J. Franklin and S. R. Jeffery et al.: Design Considerations for High Fan-In Systems: The HiFi Approach. In CIDR (2005) 290-304
5. A. Mainwaring and J. Polastre et al.: Wireless Sensor Networks for habitat monitoring. In WSNA (2002) 88-97
6. B. X. and O. Wolfson.: Time-Series Prediction with Applications to Traffic and Moving Objects Databases. In MobiDE (2003) 56-60
7. S. Guha, C. Kim and K. Shim.: XWAVE: Approximate Extended Wavelets for Stream Data. In VLDB (2004) 288-299
8. A. Deshpande and C. Guestrin et al.: Model-Driven Data Acquisition in Sensor Networks. In VLDB (2004) 588-599
9. R. C. Oliver and K. Smettem et al.: Field Testing a Wireless Sensor Network for Reactive Environmental Monitoring. In ISSNIP (2004) 7-12
10. 10 J. Han and M. Kamber.: Data Mining Concepts and Techniques. Morgan Kaufmann Publishers (2000)
11. M. Garofalakis, and P. B. Gibbons.: Approximate Query Processing: Taming the Terabytes! In VLDB Tutorial (2001)
12. G Strang, Introduction to Linear Algebra, 3rd Edition, Wellesley-Cambridge Press (1998)
13. F. Korn, H. V. Jagadish and C. Faloutsos.: Efficient Supporting Ad Hoc Queries in Large Datasets of Time Sequences. In ACM-SIGMOD (1997) 289-300
14. L. M. Camarinha-Matos, L. S. Lopes, and J. Barata.: Assembly Execution Supervision with Learning Capabilities. In ICRA (1994) 272-279
15. S. Guha and N. Mishara et al.: Clustering Data Streams. In FOCS (2000) 359-366
16. S. Hettich, and S. D. Bay.: The UCI KDD Archive (Synthetic Control Chart Time Series, Robot Execution Failures) [http://kdd.ics.uci.edu]. Irvine, CA: University of California, Department of Information and Computer Science (1999)
17. JAMA: A Java Matrix Package: http://math.nist.gov
18. Multivariate Data Analysis Software: http://astro.u-strasbg.fr/~fmurtagh/mda-sw/
19. FFT Spectrum Analyzer: http://www.dsptutor.freeuk.com/analyser/SA102.html