Title :
Research on tourists´ positioning technology based on LSSVR
Author :
Zhongjun Wu;Caiyu Li;Zhiqing Yang;Ping Wang
Author_Institution :
College of Tourism, Guilin University of Technology, Guilin, Guangxi Province, China
Abstract :
In the travel service industry, the safety of tourists is the most important, while getting the location of the tourists is the precondition to ensure visitor safety. This paper uses the positioning technology of wireless sensor networks to positioning the tourists, and gives a positioning algorithm of tourists based on least squares support vector machine. Firstly, the algorithm assumes tourists and positioning devices as unknown nodes and anchor nodes. Secondly, the LSSVR localization model was built through sampling of the grid and constructing the training sets. Finally, enter the distance vector consisting of the measurement distance between each tourists and positioning devices into the LSSVR positioning model, to obtain the estimation position of tourists. The simulation results show that, compared with least squares algorithm, the proposed positioning algorithm has a higher positioning accuracy, smaller positioning errors and lower positioning cost, and for tourists´ security research to provide the theoretical basis.
Keywords :
"Silicon","Decision support systems","Wireless sensor networks","Support vector machines","Standards","Gaussian distribution"
Conference_Titel :
Advanced Information Technology, Electronic and Automation Control Conference (IAEAC), 2015 IEEE
Print_ISBN :
978-1-4799-1979-6
DOI :
10.1109/IAEAC.2015.7428672