%0 Book Section %1 springerlink:10.1007/978-3-642-01399-7_19 %A Papapostolou, Apostolia %A Chaouchi, Hakima %B NETWORKING 2009 %D 2009 %E Fratta, Luigi %E Schulzrinne, Henning %E Takahashi, Yutaka %E Spaniol, Otto %I Springer Berlin / Heidelberg %K figerprint indoor localization venus wireless %P 234-247 %T WIFE: Wireless Indoor Positioning Based on Fingerprint Evaluation %U http://dx.doi.org/10.1007/978-3-642-01399-7_19 %V 5550 %X 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.

@incollection{springerlink:10.1007/978-3-642-01399-7_19, 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.}, added-at = {2010-10-15T09:25:00.000+0200}, affiliation = {Telecom-Sudparis, CNRS SAMOVAR, UMR 5157 LOR department}, author = {Papapostolou, Apostolia and Chaouchi, Hakima}, biburl = {https://www.bibsonomy.org/bibtex/2c92e3c2234d52f468efc68258d4fbbf8/cscholz}, booktitle = {NETWORKING 2009}, editor = {Fratta, Luigi and Schulzrinne, Henning and Takahashi, Yutaka and Spaniol, Otto}, interhash = {f52f978a555aa75ed9d4271f2e9b2b5d}, intrahash = {c92e3c2234d52f468efc68258d4fbbf8}, keywords = {figerprint indoor localization venus wireless}, note = {10.1007/978-3-642-01399-7_19}, pages = {234-247}, publisher = {Springer Berlin / Heidelberg}, series = {Lecture Notes in Computer Science}, timestamp = {2010-10-15T09:32:47.000+0200}, title = {WIFE: Wireless Indoor Positioning Based on Fingerprint Evaluation}, url = {http://dx.doi.org/10.1007/978-3-642-01399-7_19}, volume = 5550, year = 2009 }