Title: A neural network-based approach for predicting connectivity in wireless networks

Authors: Mahdi Nasereddin, Abdullah Konak, Michael R. Bartolacci

Addresses: Penn State Berks, PO Box 7009, Reading, PA 19610-6009, USA. ' Penn State Berks, PO Box 7009, Reading, PA 19610-6009, USA. ' Penn State Berks, PO Box 7009, Reading, PA 19610-6009, USA

Abstract: This paper proposes a Connectivity Decision Support System based on connectivity maps generated by a neural network approach. The proposed approach creates a coverage map based on the signal strengths from active wireless users. These data are used to train a neural network to predict the signal strengths or coverage for locations for which no active user is reporting. In other words, a neural network fills in gaps in a coverage map for a given network connection point.

Keywords: wireless networks; connectivity prediction; neural networks; artificial intelligence; mobile networks; DSS; decision support systems; connectivity maps; mobile communications; connectivity modelling; network design.

DOI: 10.1504/IJMNDI.2005.007931

International Journal of Mobile Network Design and Innovation, 2005 Vol.1 No.1, pp.18 - 23

Published online: 04 Oct 2005 *

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