DocumentCode
1995303
Title
A LSSVR three-dimensional WSN nodes location algorithm based on RSSI
Author
He, Xuewen ; Xiao, Yong ; Wang, Yanmeng
Author_Institution
Sch. of Mech. & Electr. Eng., Jiangxi Univ. of Sci. & Technol., Ganzhou, China
fYear
2011
fDate
16-18 Sept. 2011
Firstpage
1889
Lastpage
1895
Abstract
Nodes location is a key technology in the research of Wireless Sensor Network (WSN), in which the location method that is based on RSSI ranging and Least-Square is the current hot spot in research and application. Currently, with the tendency of more and more applications of WSN in the three-dimensional environment, the LSSVR three-dimensional WSN nodes location algorithm based on RSSI is proposed, aiming at the problem of the low accuracy of nodes location estimated by least square method in applying RSSI which is easily influenced by many factors and thus cause large ranging errors and difference. The paper will also present the obvious advantages of the LSSVR three-dimensional nodes location algorithm compared with Least-square location algorithm after the simulation and regression analysis of errors. The location errors acquired by the two kinds of location algorithms under the circumstance of small ranging error are similar. When the ranging error is over 16%, LSSVR three-dimensional nodes location algorithm can greatly improve positioning accuracy with an average reduction of 25% of positioning error, sometimes even to an utmost of 50%, compared with the traditional LS positioning algorithm.
Keywords
error analysis; least squares approximations; regression analysis; wireless sensor networks; LS positioning algorithm; LSSVR three-dimensional WSN nodes location algorithm; RSSI ranging; least-square location algorithm; positioning accuracy; regression analysis; wireless sensor network; Algorithm design and analysis; Attenuation; Distance measurement; Error analysis; Kernel; Mathematical model; Wireless sensor networks; Least-Square Support Vector Regression (LSSVR); Nodes Location; Received Signal Strength Indication (RSSI); Regression Analysis; Wireless Senor Network;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical and Control Engineering (ICECE), 2011 International Conference on
Conference_Location
Yichang
Print_ISBN
978-1-4244-8162-0
Type
conf
DOI
10.1109/ICECENG.2011.6058085
Filename
6058085
Link To Document