Authors: Abdullah Konak
Addresses: Information Sciences and Technology, Penn State Berks, P.O. Box 7009, Tulpehocken Road, Reading, PA 19610-6009, USA
Abstract: This paper introduces kriging as a new tool to predict network coverage in wireless networks. The proposed approach aims to reduce the cost of active site surveys by estimating network coverage at points where no site survey data is available. The proposed approach was compared with a radial basis function artificial neural network using several problems.
Keywords: kriging; signal estimation; coverage planning; radial basis function ANNs; artificial neural networks; wireless networks; network coverage prediction.
International Journal of Mobile Network Design and Innovation, 2009 Vol.3 No.2, pp.65 - 71
Published online: 09 Jan 2010 *Full-text access for editors Access for subscribers Purchase this article Comment on this article