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

MSVR Based Range-Free Localization Technique for 3-D Sensor Networks 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. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Wireless Personal Communications Springer Journals

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

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Publisher
Springer US
Copyright
Copyright © 2017 by Springer Science+Business Media, LLC
Subject
Engineering; Communications Engineering, Networks; Signal,Image and Speech Processing; Computer Communication Networks
ISSN
0929-6212
eISSN
1572-834X
D.O.I.
10.1007/s11277-017-4835-6
Publisher site
See Article on Publisher Site

Abstract

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.

Journal

Wireless Personal CommunicationsSpringer Journals

Published: Aug 17, 2017

References

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