Using Area-Based Presentations and Metrics for Localization Systems in Wireless LANs

Authors:
Eiman Elnahrawy;Xiaoyan Li;Richard P. Martin
Affiliations:
Rutgers University, Piscataway, NJ;Rutgers University, Piscataway, NJ;Rutgers University, Piscataway, NJ
Venue:
LCN '04 Proceedings of the 29th Annual IEEE International Conference on Local Computer Networks
Year:
2004

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Abstract

In this work we show the utility of WLAN localization using areas and volumes as the fundamental localization unit. We demonstrate that area-based algorithms have a critical advantage over point-based approaches because they are better able to describe localization uncertainty, which is a common theme across WLAN based localization systems. Next, we present two novel area-based algorithms. To evaluate area-based approaches, we introduce several new localization performance metrics. We then evaluate the two algorithms using our metrics with data collected from our local WLAN. Finally, we compare our area-based algorithms against traditional point-based approaches. We found that using areas improves the ability of the localization system to give users meaningful alternatives in the face of position uncertainty.