Patterns in the RSSI Traces from an Urban Environment
نویسندگان
چکیده
Urban environments are notorious for high levels of noise and interference, particularly in their unlicensed radio bands. The interference patterns visible on a given channel depend on the particular devices competing for the spectrum. Meanwhile, the modern transceivers incorporated into wireless sensor network (WSN) nodes have the ability to measure the background noise/interference and change channels. This combination of capabilities suggests the need to better understand the noise and interference encountered in urban environments so that devices can make better decisions to avoid it. In this paper, we explore the noise and interference patterns found on 256 frequencies in an urban environment’s 900 MHz ISM and non-ISM bands. We begin the process by using off-theshelf WSN hardware to sample the environment at 5 kHz from 16 locations simultaneously. From these samples, we identify five prevalent patterns and then hand-classify the 4096 traces of noise and interference. Finally, we extract a variety of statistics from the traces and use them in a Bayesian network classifier.
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