Poster Abstract: Low-Power Wireless Channel Quality Estimation in the Presence of RF Smog

Abstract

Low-power wireless networks deployed in indoor environments inevitably encounter high-power Cross Technology Interference (CTI) from a wide range of wireless devices operating in the shared RF spectrum bands. This severely reduces the performance of such networks and possibly causes loss of connectivity, which affects their availability and drains their resources. In this work, to address the channel uncertainty, a consequence of CTI, we propose a novel channel metric that (i) harnesses the local knowledge of a node about the wireless channel to discern the presence of persistent high-power interferers, and (ii) assists the node in inferring its proximity to the dominant interference sources in the physical space. In order to motivate and validate the necessity of such a metric, we empirically characterize the impact of the interaction between high/low-power cross technology interferers and IEEE 802.15.4.