Hanlen, LeifMiniutti, DinoSmith, DavidRodda, DavidGilbert, Ben2015-12-101068-9605http://hdl.handle.net/1885/61355Inter-network interference is likely to be a significant source of difficulty for wireless body area networks. Movement, proximity of networks, the large number of nodes per network and the lack of central coordination make cellular approaches to interference modeling ineffective. We examine the interference power of multiple Body Area Networks (BANs) when people move randomly within an indoor office environment. The power-loss trend over 3 m is overwhelmed by random variations in the signal power. Distance-to-interferer is a poor estimate of instantaneous received interference power, and an even less reliable estimate of instantaneous signal-to-interference ratio (SIR). We develop a lognormal statistical model for the signal-to-interference which incorporates the distance effect.Keywords: Body Area Network; Channel model; Distance effects; Indoor measurement; Interference modeling; Interference power; Log-normal; Office environments; Path loss; Random variation; Reliable estimates; Signal power; Signal to interferences; Signal-to-interfere Body area networks; Channel model; Co-channel interference; Indoor measurements; Path loss201010.1007/s10776-010-0123-z2016-02-24