Data prediction in WSN using variable step size LMS algorithm

SENSORCOMM 2011 - 5th International Conference on Sensor Technologies and Applications and WSNSCM 2011, 1st International Workshop on Sensor Networks for Supply Chain Management

Volumn , Issue , 2011, Pages 191-196

  Stojkoska, Biljana ^a   Solev, Dimitar ^a   Davcev, Danco ^a  

^a SS CYRIL AND METHODIUS UNIVERSITY   (Macedonia)

Author keywords

Data prediction; Least mean square algorithm; Time series forecasting; Wireless sensor network

Indexed keywords

ALGORITHMS; ENERGY CONSERVATION; ENERGY UTILIZATION; FORECASTING; RADIO TRANSMISSION; SUPPLY CHAIN MANAGEMENT; VIRTUAL REALITY; WIRELESS SENSOR NETWORKS; WIRELESS TELECOMMUNICATION SYSTEMS;

DATA PREDICTION; LEAST MEAN SQUARE ALGORITHMS; MATHEMATICAL APPARATUS; REDUCTION STRATEGY; TIME SERIES FORECASTING; VARIABLE STEP SIZE; VARIABLE STEP-SIZE LMS ALGORITHMS; WIRELESS COMMUNICATIONS;

DATA REDUCTION;

EID: 84938675800     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

1. G. Anastasi, M. Conti, M. Di Francesco, and A. Passarella, Energy conservation in wireless sensor networks: A survey, Ad Hoc Networks, vol. 7 n. 3, pp. 537-568, May, 2009.
2. E. F. Nakamura, A. A. F. Loureiro, and A. C. Frery, Information fusion for wireless sensor networks: Methods, models, and classifications, ACM Computing Surveys (CSUR), vol. 39 n. 3, pp. 9-55, 2007.
3. Y. L. Borgne, S. Santini, and G. Bontempi, Adaptive model selection for time series prediction in wireless sensor networks, Signal Processing, vol. 87 n. 12, pp. 3010-3020, December, 2007.
4. C. Liu, K. Wu, and M. Tsao, "Energy Efficient Information Collection with the ARIMA Model in Wireless Sensor Networks", In Proceedings from IEEE Globecom, vol. 5, pp. 2470-2474, 2005.
5. S. Santini and K. Römer: An Adaptive Strategy for Quality-Based Data Reduction in Wireless Sensor Networks, Proceedings of the 3rd International Conference on Networked Sensing Systems (INSS 2006), pp. 29-36, Chicago, IL, USA. June 2006.
6. Intel lab data. Web Page, (Accessed on 06/06/2011) http://db.lcs.mit.edu/labdata/labdata.html
7. S. Haykin: Least-Mean-Square Adaptive Filters. Edited by S. Haykin, New York Wiley-Interscience, 2003.
8. G. Moschytz and M. Hofbauer: Adaptive Filter. Springer Verlag, Berlin, 2000, ISBN 3-540-67651-1.
9. R. Kwong and E. W. Johnston, A Variable Step Size LMS Algorithm, IEEE Trans. On Signal Process., vol. 40, pp. 1633-1642, 1992.