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Performance study of active tracking in a cellular network using a modular signaling platform

Authors:

Kateřina Dufková,

Martin TomekAuthors Info & Claims

MobiSys '10: Proceedings of the 8th international conference on Mobile systems, applications, and services

Pages 239 - 254

https://doi.org/10.1145/1814433.1814458

Published: 15 June 2010 Publication History

Abstract

We present the SS7Box modular signaling platform, a tool for rapid application prototyping in a cellular mobile network, and examine in detail its performance limits for the application of active network-based tracking, called SS7Tracker. This application is a highly configurable, non-intrusive and cost-effective solution for large-scale data collection on user mobility in the network, uniquely enabling tracking of both active and passive mobile clients. We present performance studies of real deployment in an existing cellular network and document the measured as well as simulated performance limits such as platform interconnection utilization. Other factors, such as impact on battery consumption of the tracked device, are studied as well. Platform modularity and variability is discussed and demonstrated by further deployed use cases. We conclude by observing promising applicability for future cellular networks.

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Index Terms

Performance study of active tracking in a cellular network using a modular signaling platform
1. Hardware
  1. Communication hardware, interfaces and storage
2. Networks

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Published In

cover image ACM Conferences

MobiSys '10: Proceedings of the 8th international conference on Mobile systems, applications, and services

June 2010

382 pages

ISBN:9781605589855

DOI:10.1145/1814433

General Chair:
Sujata Banerjee
Hewlett-Packard Labs., USA
,
Program Chairs:
Srinivasan Keshav
University of Waterloo, Ontario, Canada
,
Alec Wolman
Microsoft Research Redmond, USA

Copyright © 2010 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing

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Association for Computing Machinery

New York, NY, United States

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Published: 15 June 2010

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MobiSys'10: The 8th International Conference on Mobile Systems, Applications, and Services

June 15 - 18, 2010

California, San Francisco, USA

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Overall Acceptance Rate 274 of 1,679 submissions, 16%

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https://doi.org/10.1016/j.pmcj.2024.101887
Li BZhao QJiao SLiu XCosta XAl Hassanieh HAsadi ACox LPerino DWidmer JGiustiniano D(2023)DroidPerf: Profiling Memory Objects on Android DevicesProceedings of the 29th Annual International Conference on Mobile Computing and Networking10.1145/3570361.3592503(1-15)Online publication date: 10-Jul-2023
https://dl.acm.org/doi/10.1145/3570361.3592503
Fazio PMehic MVoznak M(2023)On the Relationship Between Speed and Mobility Sampling Frequency in Dynamic Urban NetworksIEEE Systems Journal10.1109/JSYST.2022.318664017:1(696-707)Online publication date: Mar-2023
https://doi.org/10.1109/JSYST.2022.3186640
Katsikouli PMadariaga DViana ATarable AFiore M(2023)DuctiLoc: Energy-Efficient Location Sampling With Configurable AccuracyIEEE Access10.1109/ACCESS.2023.324373111(15375-15389)Online publication date: 2023
https://doi.org/10.1109/ACCESS.2023.3243731
Fazio PMehic MVoznak M(2022)An Innovative Dynamic Mobility Sampling Scheme Based on Multiresolution Wavelet Analysis in IoT NetworksIEEE Internet of Things Journal10.1109/JIOT.2021.31265509:13(11336-11350)Online publication date: 1-Jul-2022
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Duan JLi WZhang XLu S(2022)Forecasting fine-grained city-scale cellular traffic with sparse crowdsourced measurementsComputer Networks10.1016/j.comnet.2022.109156214(109156)Online publication date: Sep-2022
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Wankhade NDeshpande S(2018)Performance Evaluation of “SmartSource” a Distributed Database System Using Smartphone in Cellular Network2018 4th International Conference on Computing Communication and Automation (ICCCA)10.1109/CCAA.2018.8777728(1-5)Online publication date: Dec-2018
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Katsikouli PViana AFiore MTarable A(2017)On the Sampling Frequency of Human MobilityGLOBECOM 2017 - 2017 IEEE Global Communications Conference10.1109/GLOCOM.2017.8254476(1-6)Online publication date: Dec-2017
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Perera KBhattacharya TKulik LBailey JAli MHuang YGertz MRenz MSankaranarayanan J(2015)Trajectory inference for mobile devices using connected cell towersProceedings of the 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems10.1145/2820783.2820804(1-10)Online publication date: 3-Nov-2015
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