Abstract
Location awareness of a user or a device has always been considered as a key element for enhancing network performance and improving user experience by enabling efficient mobility and innovative location-based services. In this paper, we present our proposal named WIFE (Wireless Indoor positioning based on Fingerprint Evaluation), a user-based location determination system which utilizes the information of the Signal Strength (SS) received from the surrounding Access Points (APs) inside a building. We focus on a WiFi environment for its low cost and ease of deployment and study fingerprint-based deterministic techniques for their simplicity and reduced processing time and resource requirements. We first address the inherent impairments of an indoor environment which prevent a positioning system from being accurate and then describe our proposed methodology for mitigating them.
This paper is conducted in the French national research project ANR 2006 SUN: Situated and Ubiquitous Networks.
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Papapostolou, A., Chaouchi, H. (2009). WIFE: Wireless Indoor Positioning Based on Fingerprint Evaluation. In: Fratta, L., Schulzrinne, H., Takahashi, Y., Spaniol, O. (eds) NETWORKING 2009. NETWORKING 2009. Lecture Notes in Computer Science, vol 5550. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01399-7_19
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DOI: https://doi.org/10.1007/978-3-642-01399-7_19
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