Lightweight Indoor Localization System

— Indoor localization is an important topic for context aware applications. In particular, many applications for wireless devices can benefit from knowing the location of a user. Despite the huge effort from the research community to solve the localization problem, there is no widely accepted solution for localization in an indoor environment. In this paper we focus on constrained devices and propose an extremely lightweight indoor localization system that can be scaled to different devices, from smartphones to smart glasses and other devices. We devise a simple yet effective WiFi-based system with low computational complexity, which does not need any additional special infrastructure nor map or an internet connection. Our system relies on IEEE 802.11 Received Signal Strength Indicator (RSSI) values and a dead reckoning module to collect walking trajectories which are further clustered and compressed to build a sensor map. The key novelty of our work is a merging algorithm that can ...

• Type: Journal
• Year: 2015
• Where: MWCN
• Authors: Mihai Bace, Yvonne Anne Pignolet
• Keywords: Computer Networks, MWCN 2015