Silouanos Nicolaou

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In this demonstration paper, we present an indoor positioning system developed for Android smartphones, coined Airplace. To infer the unknown user location we rely on ubiquitous WLANs and exploit Received Signal Strength (RSS) values from neighboring Access Points (AP) that are constantly monitored by the mobile devices under normal operation. Our system(More)
The majority of smartphone localization systems use <i>Assisted-GPS</i> for fine-grained localization in outdoor spaces or WiFi-based <i>RSS (Received Signal Strength)</i> technologies for coarse-grain positioning in indoor and outdoor spaces. The former consumes precious energy from mobile devices, is strictly affected by the environment (e.g., cloudy day,(More)
In this demo paper, we present the <i>Airplace</i> indoor positioning platform developed for Android smartphones [1]. <i>Airplace</i> relies on existing WLAN infrastructure and exploits Received Signal Strength (RSS) values from neighboring Access Points (AP) to infer the unknown user location. Our system utilizes a number of RSS fingerprints collected a(More)
—We present an Android smartphone platform for the evaluation of RSS fingerprint-based algorithms. Our system follows a mobile-based network-assisted architecture to eliminate the communication overhead and respect user privacy. When a user enters our university campus a smartphone client conducts a single communication with a dedicated server to receive(More)
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