Statistical Characterization of the 2.4 GHz Radio Channel for WSN in Indoor Office Environments

In this paper we present the results and the as-sessment of a statistical analysis of the wireless sensor networks(WSN) radio channel in indoor office scenarios. The work is basedon an extensive set of received signal strength (RSS) measure-ments collected within different typical indoor spaces and nodeplacement scenarios. Results are compared with correspondingvalues from the log-distance model, which is the most widely usedin WSN simulators. Channel temporal stability is also analyzed.The analysis reveals interesting regularities within the measureddata and as expected we observe a highly non-stationary behaviorof the RSS. We also propose several improvements for the channelmodel of WSN simulators based on our observations. They canbe beneficial for running more accurate network simulations forsuch applications as localization.