Doyle, John, Farrell, Ronan, McLoone, Sean F., McCarthy, Tim and Hung, Peter (2009) Extracting Localised Mobile Activity Patterns from Cumulative Mobile Spectrum RSSI. In: CIICT 2009 : proceedings of the China-Ireland information and communications technologies conference. National University of Ireland, Dept. of Computer Science, Maynooth, Ireland, pp. 75-82. ISBN 9780901519672
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Abstract
Techniques for observing the flow of people are
creating new means for observing the dynamics between people
and the environments they pass through. This ubiquitous connectivity
can be observed and interpreted in real-time, through
mobile device activity patterns. Recent research into urban
analysis through the use of mobile device usage statistics has
presented a need for the collection of this data independently
from mobile network operators. In this paper we demonstrate
that by extracting cumulative received signal strength indication
(RSSI) for overall mobile device transmissions, such information
can be obtained independently from network operators. We
present preliminary results and suggest future applications for
which this collection method may be used.
Item Type: | Book Section |
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Additional Information: | Research presented in this paper was funded by a Strategic Research Cluster grant (07/SRC/ll168) by Science Foundation Ireland under the National Development Plan and by the Irish research Council for Science, Engineering and Technology under their Embark Initiative in partnership with ESRI Ireland. The authors gratefully acknowledge this support. |
Keywords: | RSSI; Erlang; human monitoring; geo-temporal weighting; |
Academic Unit: | Faculty of Science and Engineering > Electronic Engineering Faculty of Science and Engineering > Research Institutes > Institute of Microelectronics and Wireless Systems |
Item ID: | 2536 |
Depositing User: | Sean McLoone |
Date Deposited: | 25 May 2011 14:00 |
Publisher: | National University of Ireland, Dept. of Computer Science |
Refereed: | Yes |
Funders: | Science Foundation Ireland, Irish research Council for Science, Engineering and Technology |
Related URLs: | |
URI: | https://mural.maynoothuniversity.ie/id/eprint/2536 |
Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
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