Delaunay implementation to improve kriging computing efficiency
Computers & Geosciences
Radial Basis Functions
A neural network-based approach for predicting connectivity in wireless networks
International Journal of Mobile Network Design and Innovation
Estimating signal strengths in the design of an indoor wireless network
IEEE Transactions on Wireless Communications
Large-scale wireless LAN design
IEEE Communications Magazine
Rollabout: a wireless design tool
IEEE Communications Magazine
Prediction of wireless network connectivity using a Taylor Kriging approach
International Journal of Advanced Intelligence Paradigms
Predicting coverage in wireless local area networks with obstacles using kriging and neural networks
International Journal of Mobile Network Design and Innovation
Estimating path loss in wireless local area networks using ordinary kriging
Proceedings of the Winter Simulation Conference
Indoor coverage estimation from unreliable measurements using spatial statistics
Proceedings of the 16th ACM international conference on Modeling, analysis & simulation of wireless and mobile systems
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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.