Signal-Strength Statistical Fingerprinting-based Positioning in Wireless LANs by Maria Papadopouli
Accurate location-sensing is of paramount importance in most ubiquitous and pervasive computing applications. Numerous solutions for localization based on wireless networking, sensor, and vision technologies have been proposed. This talk presents several positioning techniques utilizing signal-strength (SS) statistical fingerprints collected from wireless access points (APs). One of the approaches employs a statistical representation of the received SS measurements by means of a multivariate Gaussian model. It considers a discretized grid-like form of the indoor environment and computes probability distribution signatures at each cell of the grid. At run time, the system compares the signature at the unknown position with the signature of each cell by using the KullbackLeibler Divergence (KLD) between their corresponding probability densities. Another approach applies compressive sensing (CS) to perform sparsity-based accurate indoor localization.These approaches were evaluated with experiments conducted at the premises of a research laboratory and an aquarium under real-life conditions. The talk will discuss these approaches and present the main outcome of the performance analysis.This is a joint work with Dimitris Milioris, George Tzagkarakis, Artemis Papakonstantinou, and Panagiotis Tsakalides at the University of Crete and FORTH.More information.Bio
Maria Papadopouli (Ph.D. Columbia University, October 2002) is an associate professor in the Department of Computer Science at the University of Crete, a guest professor at the KTH Royal Institute of Technology, in Stockholm, and a research associate in FORTH-ICS. From July 2002 until June 2006, she was a tenure-track assistant professor at UNC (on leave from July 2004 until June 2006). Her current research interests are in wireless networking, modeling and performance analysis, network measurements, cognitive radio networks, mobile peer-to-peer computing, positioning, and pervasive computing.She has co-authored a monograph on Peer-to-Peer Computing for Mobile Networks: Information Discovery and Dissemination (Springer Eds. 2009). Several of her papers have received a honourable mention. She has been the co-chair of nine international workshops in the area of wireless networking and mobile peer-to-peer computing. She has given more than 30 invited talks in research labs and universities world-wide. In 2004 and 2005, she was awarded with an IBM Faculty Award, while in 2012, her research was also funded by the General Secretariat for Research and Technology, Research Excellence (Investigator-driven) Program.