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Extracting Localised Mobile Activity Patterns from Cumulative Mobile Spectrum RSSI

Doyle, John and Farrell, Ronan and McLoone, Sean and 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
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;
Subjects: Science & Engineering > Electronic Engineering
Science & Engineering > Institute of Microelectronic & 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
URI:

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