Poster: Indoor Localization using Multi-Range Beaconing

The increasing importance of location-aware computing and context-dependent services have led to a growing interest in low-cost indoor positioning with sub-meter accuracy. Blue tooth positioning has received increasing attention from both academia and industry due to its wide availability, ease of deployment, and low power consumption. However, Blue tooth positioning is primarily based on the Received Signal Strength Indicator (RSSI), which has been shown to be an unreliable indicator of distance. In this work, we present measurements to highlight various challenges in using RSSI for localization and the impact of these challenges on localization accuracy. Further, we propose and evaluate a novel multi-ranges beaconing approach to address RSSI-based ranging challenges.