CLIPS: Infrastructure-free Collaborative Indoor Positioning Scheme

Speaker : Uichin Lee
Date: 03/05/2013
Time: 10:30 am - 11:30 am
Location: LINCS Meeting Room 40


Indoor localization has attracted much attentionrecently due to its potential for realizing indoor location-awareapplication services. This talk considers a time-criticalscenario with a team of soldiers or first responders conductingemergency mission operations in a large building in whichinfrastructure-based localization is not feasible (e.g., due tomanagement/installation costs, power outage, terrorist attacks). In this talk, I will present a collaborative
indoor positioning scheme called CLIPS that requires no preexisting indoorinfrastructure. Assuming that each user has a received signalstrength map for the area in reference, an application can compare and select a set of feasible positions,when the device receives actual signal strength values at runtime. Then, dead reckoning is performed to remove invalidcandidate coordinates eventually leaving only the correct onewhich can be shared
amongst the team. The evaluation resultsfrom an Android-based testbed show that CLIPS converges toan accurate set of coordinates much faster
than existing non-collaborativeschemes (more than 50% improvement under theconsidered scenarios).


Biography: Dr. Uichin Lee is an assistant professor in the Department of Knowledge Service Engineering at KAIST, Korea. He received his Ph.D. degree in Computer Science from UCLA in 2008. Before joining KAIST, he worked for Alcatel-Lucent Bell Labs at Holmdel as a member
of technical staff. His research interests include mobile/pervasive computing and social computing systems.