Extracting critical attributes in wireless sensor networks using modified regression polynomial

Proceedings of the 2006 IEEE International Conference on Networking, Sensing and Control, ICNSC'06

Volumn , Issue , 2006, Pages 762-767

  Banerjee, Torsha ^a,b   Agrawal, Dharma P ^a,b   French, Donald ^c  

^a IEEE   (United States)

^b University of Cincinnati   (United States)

^c UNIVERSITY OF CINCINNATI   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

NEIGHBORING SENSORS; REGRESSION POLYNOMIAL;

ALGORITHMS; APPROXIMATION THEORY; DATA ACQUISITION; LINEAR REGRESSION; POLYNOMIALS;

WIRELESS SENSOR NETWORKS;

EID: 34250198330     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

1. Mehmet C. Vuran, Ozgur B. Akan, nd Ian F. Akyildiz, "Spatio-temporal correlation: Theory and applications for wireless sensor networks," Elsevier Computer Networks (COMMET) Journal, 2004.
2. Torsha Banerjee, Kaushik Choudhury, and Dharma P. Agrawal, "Tree Based Data Aggregation in Sensor Networks Using Polynomial Regression," Proceedings of the 8th Ann. Conf. on Information Fusion, July 25-29, Philadelphia. 2005.
3. B.M. Steele, S. K. Reddy,and R. R. Nemani, "Regression Strategy for Analyzing Environmental Data Generated by Spatio-Temporal Processes," Ecological Modeling, 2003.
4. Razvan Cristescu, and Martin Vetterli, "On the optimal density for real-time data gathering of spatio-temporal processes in sensor networks," Proceedings of IPSN 2005.
5. Carlos Guestrin, Peter Bodix, Romain Thibaux, Mark Paskin, and Samuel Madden, "Distributed Regression: an Efficient Framework for Modeling Sensor Network Data," Proceedings of IPSN '04.
6. [Online] http://www2.sjsu.edu/faculty/watkins/2ndOrdergen.htm
7. http://www.physicalgeography.net/fundamentals/71.html
8. D. Coppersmith and S. Winograd, "Matrix Multiplication via Arithmetic Progressions," Journal of Symbolic Computation, 9 (1990), pp. 251-280.
9. Laurene Fausett, Numerical Methods: Algorithms and Applications, 0130314005 (Hardback), Pearson Education, Oct 2002.
10. ATG [Online] www.atmos.washington.edu/data/difax/maxtemp
11. ATG [Online] www.atmos.washington.edu/data/difax/mintemp
12. Matlab [Online] http://www.mathworks.com