WLAN Localization Without Location Fingerprinting Using Logic Graph Mapping

Abstract

In Wireless Local Area Network (WLAN) environment, most of the existed Received Signal Strength (RSS) based localization algorithms rely on RSS data collection at Reference Points (RPs) in off-line phase. The process of RSS data collection is usually time consuming and labor intensive. To solve this problem, we make use of the relationship between the raw RSS sequences and the architecture of ground-truth environment, as well as the correlation among different raw RSS sequences to construct logic graphs. After that, by conducting mapping from the ground-truth graph into logic graph and doing mapping selection, we locate the target in the subarea which the target really belongs to. Since our proposed approach does not require the exact locations of the collected RSS data, a large amount of time and laboring cost for site survey is saved. Experimental results show that our proposed approach can be used to locate target in WLAN environment without site survey on WLAN RSS data.