MobReduce: Reducing State Complexity of Mobility Traces

Resource type
Conference
Author(s)
Hartmann, Fabian and Mayer, Christoph P. and Baumgart, Ingmar
Year
2012
Address
Newcastle, UK
Book title
Proceedings of the Nokia Mobile Data Challenge 2012 in connection with Pervasive 2012
Abstract
User traces are essential for analysis of human behavior and development of opportunistic networking protocols and applications. As user traces are collected with high granularity to apply them in diverse scenarios, they have a high complexity resulting from the large number of user states. We present MobReduce: a methodology for reducing the number of states in user traces. We apply MobReduce to individually to GPS locations and WiFi sightings of the Nokia Mobile Data Challenge data set and show how to trade off state complexity vs. granularity.
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Published by
Ingmar Baumgart