Target localization based on LSSVR in wireless sensor networks

被引：4
|
作者：
Zhang X.-P. [1 ]
Liu G.-X. [1 ]
Zhou S.-B. [2 ]
机构：
[1] School of Mechanical and Automotive Engineering, South China University of Technology
[2] Automation Engineering R and M Center, Guangdong Academy of Sciences
来源：
Guangxue Jingmi Gongcheng/Optics and Precision Engineering | 2010年 / 18卷 / 09期
关键词：
Adaptive regression modeling; Least square support vector regression(LSSVR); Target localization; Wireless sensor network;
D O I：
10.3788/OPE.20101809.2060
中图分类号：
学科分类号：
摘要：
In consideration of the direct influence of Received Signal Strength Indicator(RSSI) fluctuation on the target localization accuracy in wireless sensor networks (WSN), the basic principle of target localization using Least Square Support Vector Regression(LSSVR) is discussed. Then, the characteristics of LSSVR modeling are analyzed for given and variable detection sensors, respectively. Furthermore, a method for Target Localization based on Adaptive LSSVR Modeling (TL-AML) in WSN is proposed. By considering localization accuracy and real-time performance comprehensively, LSSVR models are built for locating target at initial time, and at follow-up time it is used to decide whether new models need to be built or not according to the inclusion relation between detection nodes and sensor nodes. The performance of TL-AML is verified based on CC2430 WSN experiment platform. Results show that the Root Mean Square Error (RMSE) of target localization based on TL-AML has reduced by 34%~37% and 60%~65% as compared with those of MLE and LSE, respectively. When modeling parameters are taken in reasonable value ranges, the localization accuracy of TL-AML is improved evidently compared with MLE and LSE. Moreover, the consuming time of TL-AML is 0.2~0.4 s, If LSSVR modeling is needed. Otherwise, the consuming time is only about 0.04 s. The results indicate that TL-AML method can weaken the influence of RSSI fluctuation on the accuracy of target localization and has good real-time target localization accuracy.
引用
收藏
页码：2060 / 2068
页数：8
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