A Three-dimensional Node Security Localization method for WSN Based on Improved RSSI-LSSVR Algorithm

被引：7

作者：

Zhang Lieping ^{[1
,2
]}

Yang Huanhuan ^{[3
]}

Yu Yanlin ^{[2
]}

Peng Fei ^{[3
]}

机构：

[1] Guilin Univ Technol, Guangxi Key Lab Spatial Informat & Geomat, Guilin 541004, Guangxi, Peoples R China

[2] Guilin Univ Technol, Coll Mech & Control Engn, Guilin 541004, Guangxi, Peoples R China

[3] Guilin Univ Technol, Coll Informat Sci & Engn, Guilin 541004, Guangxi, Peoples R China

来源：

2018 10TH INTERNATIONAL CONFERENCE ON MEASURING TECHNOLOGY AND MECHATRONICS AUTOMATION (ICMTMA) | 2018年

基金：

中国国家自然科学基金;

关键词：

Wireless Sensor Network; Received Signal Strength Indicator; Three-dimensional Node localization; Least Squares Support Vector Regression; Security Location;

D O I：

10.1109/ICMTMA.2018.00051

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, a three-dimensional node security localization method for WSN based on improved RSSI-LSSVR algorithm was proposed, which aims to improve the accuracy and security of the traditional wireless sensor network localization algorithm in three-dimensional environment. The RSSI method is first improved is improved by using the median weighting method so as to improve the range precision of the nodes. To further improve the localization accuracy of the nodes, a three-dimensional node localization model is established based on the least square support vector regression method. Lastly, a detection mechanism against sybil attacks is presented to improve the security of localization against sybil attacks. The simulation results show that the accuracy and safety of the improved localization algorithm are better than the traditional localization algorithm.

引用

页码：182 / 186

页数：5

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