Wi-Fi Based Inertial RSS and Fingerprinting using Multiagent Technology

First, the costly offline process of RSS map construction in conventional fingerprint-based localization is removed by the use of inertial sensors. To collect RSS fingerprints automatically and proposed system conducts inertial sensor-based self-localization and estimates. Second, we successfully constructed the collective fingerprint map by a credibility-based user collaboration scheme. The proposed system is based on a passive user inertial method, which collects and uploads fingerprints automatically in daily life using MAS. We show how to handle multiple floors and stairways, how to handle symmetry in the environment, and how to initialize the localization algorithm using Wi-Fi signal strength to reduce initial complexity. Keywords—Inertial sensors, location fingerprinting, Multiagent Technology (MAT), Wi-Fi-based fingerprinting, Received Signal Strength (RSS).