Best Sensor Selection for an Iterative REM Construction

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Sebastien Grimoud, Berna Sayraç, Sana Ben Jemaa, Eric Moulines

Published: 2011, Last Modified: 25 Jan 2026VTC Fall 2011EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: In this paper we propose a Bayesian approach for estimating parameters of the radio propagation model, and an iterative Kriging interpolation algorithm for choosing the best candidate measurement to be retrieved into the Radio Environment Map (REM). We compare the performance with a random choice of the candidate measurement and show that our algorithm reduces the amount of measurement needed by 33%. The proposed algorithm has also the merit of being fast enough to be implemented in an online fashion for REMs with a grid size of 25m and for pedestrian mobile speeds.