DocumentCode :
3441184
Title :
Steepest Descent Based Optimization for Distributed Regression in Wireless Sensor Networks
Author :
Hou, Chaojun ; Guo, Xuemei ; Wang, Guoli
Author_Institution :
Sch. of Inf. Sci. & Technol., Sun Yat-Sen Univ., Guangzhou
fYear :
2008
fDate :
12-14 Oct. 2008
Firstpage :
1
Lastpage :
4
Abstract :
This paper presents a steepest descent based algorithm for the distributed optimization towards to data regression modeling in wireless sensor networks (WSNs). In doing this, the junction tree based routing structure is employed to organize the nodes in coordination to accomplish the in-network implementation of the distributed iterative scheme. Experimental results are reported to demonstrate the effectiveness of the proposed scheme.
Keywords :
optimisation; regression analysis; telecommunication network routing; wireless sensor networks; data regression modeling; distributed iterative scheme; distributed regression; junction tree based routing structure; steepest descent based optimization; wireless sensor networks; Chaos; Distributed algorithms; Information science; Polynomials; Predictive models; Regression tree analysis; Routing; Sensor phenomena and characterization; Temperature sensors; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4244-2107-7
Electronic_ISBN :
978-1-4244-2108-4
Type :
conf
DOI :
10.1109/WiCom.2008.883
Filename :
4678791
Link To Document :
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