MSVR Based Range-Free Localization Technique for 3-D Sensor Networks

被引：7
作者：
Anand, Niharika [1 ]
Ranjan, Rajeev [1 ]
Varma, Shirshu [1 ]
机构：
[1] IIIT Allahabad, Dept Informat & Technol, Allahabad, Uttar Pradesh, India
来源：
WIRELESS PERSONAL COMMUNICATIONS | 2017年 / 97卷 / 04期
关键词：
Range-free localization; Support vector regression; Wireless Sensor Network; Convex optimization; EXTREME LEARNING-MACHINE; SUPPORT VECTOR MACHINE;
D O I：
10.1007/s11277-017-4835-6
中图分类号：
TN [电子技术、通信技术];
学科分类号：
0809 ;
摘要：
Location estimation is essential in any Wireless Sensor Network (WSN). A novel range-free localization approach has been proposed in this research that is based on multidimensional support vector regression (MSVR). To solve the regression problem, in this research a new training method for MSVR is proposed. The proposed localization approach is formulated in such a manner that the unknown sensor node position is calculated by using the position information of known actuator node by using proximity measurements. The simulations for the proposed schemes are done for both anisotropic and isotropic networks and also for both 2-D and 3-D environments. The simulated results showed the excellent performance by the proposed schemes in various scenarios as compared with the already existing schemes.
引用
收藏
页码：6221 / 6238
页数：18
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