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.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
