A Quantitative Analysis of Cell Tower Trace Data for Understanding Human Mobility and Mobile Networks - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2016

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

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.
Fichier principal
Vignette du fichier
melt2016.pdf (2.43 Mo) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01378622 , version 1 (10-10-2016)

Identifiers

Cite

Neal H 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. ⟨10.1145/1235⟩. ⟨hal-01378622⟩
191 View
414 Download

Altmetric

Share

Gmail Facebook X LinkedIn More