%0 Conference Paper %1 yoon2006building %A Yoon, Jungkeun %A Noble, Brian D. %A Liu, Mingyan %A Kim, Minkyong %B International Conference on Mobile Systems, Applications and Services %C New York, NY, USA %D 2006 %I ACM %K citedby:scholar:count:160 citedby:scholar:timestamp:2017-2-11 diss geo human inthesis mobility spatial wifi %P 177--190 %R 10.1145/1134680.1134699 %T Building Realistic Mobility Models from Coarse-grained Traces %U http://doi.acm.org/10.1145/1134680.1134699 %X In this paper we present a trace-driven framework capable of building realistic mobility models for the simulation studies of mobile systems. With the goal of realism, this framework combines coarse-grained wireless traces, i.e., association data between WiFi users and access points, with an actual map of the space over which the traces were collected. Through a sequence of data processing steps, including filtering the data trace and converting the map to a graph representation, this framework generates a probabilistic mobility model that produces user movement patterns that are representative of real movement. This is done by adopting a set of heuristics that help us infer the paths users take between access points. We describe our experience applying this approach to a college campus, and study a number of properties of the trace data using our framework. %@ 1-59593-195-3

@inproceedings{yoon2006building, abstract = {In this paper we present a trace-driven framework capable of building realistic mobility models for the simulation studies of mobile systems. With the goal of realism, this framework combines coarse-grained wireless traces, i.e., association data between WiFi users and access points, with an actual map of the space over which the traces were collected. Through a sequence of data processing steps, including filtering the data trace and converting the map to a graph representation, this framework generates a probabilistic mobility model that produces user movement patterns that are representative of real movement. This is done by adopting a set of heuristics that help us infer the paths users take between access points. We describe our experience applying this approach to a college campus, and study a number of properties of the trace data using our framework.}, acmid = {1134699}, added-at = {2017-02-11T17:48:54.000+0100}, address = {New York, NY, USA}, author = {Yoon, Jungkeun and Noble, Brian D. and Liu, Mingyan and Kim, Minkyong}, biburl = {https://www.bibsonomy.org/bibtex/2570bb3706e40e22d44ba20e8335e47cd/becker}, booktitle = {International Conference on Mobile Systems, Applications and Services}, doi = {10.1145/1134680.1134699}, interhash = {51be1440378c72a173794a05877b1db0}, intrahash = {570bb3706e40e22d44ba20e8335e47cd}, isbn = {1-59593-195-3}, keywords = {citedby:scholar:count:160 citedby:scholar:timestamp:2017-2-11 diss geo human inthesis mobility spatial wifi}, location = {Uppsala, Sweden}, numpages = {14}, pages = {177--190}, publisher = {ACM}, series = {MobiSys '06}, timestamp = {2017-12-20T16:59:04.000+0100}, title = {Building Realistic Mobility Models from Coarse-grained Traces}, url = {http://doi.acm.org/10.1145/1134680.1134699}, year = 2006 }