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Open Access Research

Coverage prediction and optimization algorithms for indoor environments

David Plets*, Wout Joseph, Kris Vanhecke, Emmeric Tanghe and Luc Martens

Author Affiliations

Department of Information Technology, Ghent University/IBBT, Gaston Crommenlaan 8 box 201, B-9050 Ghent, Belgium

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EURASIP Journal on Wireless Communications and Networking 2012, 2012:123  doi:10.1186/1687-1499-2012-123

Published: 28 March 2012


A heuristic algorithm is developed for the prediction of indoor coverage. Measurements on one floor of an office building are performed to investigate propagation characteristics and validations with very limited additional tuning are performed on another floor of the same building and in three other buildings. The prediction method relies on the free-space loss model for every environment, this way intending to reduce the dependency of the model on the environment upon which the model is based, as is the case with many other models. The applicability of the algorithm to a wireless testbed network with fixed WiFi 802.11b/g nodes is discussed based on a site survey. The prediction algorithm can easily be implemented in network planning algorithms, as will be illustrated with a network reduction and a network optimization algorithm. We aim to provide an physically intuitive, yet accurate prediction of the path loss for different building types.