A Quantitative Analysis of Cell Tower Trace Data for Understanding Human Mobility and Mobile Networks

Neal Walfield 1 John Linwood Griffin 1 Christian Grothoff 2
1 JHU - Johns Hopkins University
2 TAMIS - Threat Analysis and Mitigation for Information Security
Inria Rennes – Bretagne Atlantique , IRISA-D4 - LANGAGE ET GÉNIE LOGICIEL
Abstract : This paper provides insights into human mobility by analyzing cell tower traces. Cell tower trace data is an attractive method for studying mobility as the data can be collected in an energy-efficient and privacy-preserving way. Our new data set is useful for confirming or determining fundamental mobility parameters and for understanding mobile networks. In particular, we identify patterns in the data that would seem characteristic for particular behaviors, such as travel or work.
Keywords : CCS Concepts ˆNetworks → Network measurement ˆHuman-centered computing → Empirical studies in ubiquitous and mobile computing Keywords Cell tower trace human mobility user study
Type de document :
Communication dans un congrès
6th International Workshop on Mobile Entity Localization, Tracking and Analysis (MELT), Oct 2016, San Francisco, United States. 2016, 〈https://sites.google.com/site/meltworks/home〉. 〈10.1145/1235〉
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Neal Walfield, John Linwood Griffin, Christian Grothoff. A Quantitative Analysis of Cell Tower Trace Data for Understanding Human Mobility and Mobile Networks. 6th International Workshop on Mobile Entity Localization, Tracking and Analysis (MELT), Oct 2016, San Francisco, United States. 2016, 〈https://sites.google.com/site/meltworks/home〉. 〈10.1145/1235〉. 〈hal-01378622〉

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