Smartphones are used to access a wide range of different information and communication services and perform functions based on data transfer. A number of subscription contracts for smartphones is rapidly increasing, and the development of mobile communications network provides higher speed of data transfer. The continuous increase in the average amount of data traffic per one subscriber contract leads to an increase in the total Mobile Data Traffic (MDT), globally. This research represents a summary of factors that affect the amount of smartphone MDT. Previous literature shows only a few of the factors individually that affect the realization of smartphone MDT. The results of the research clarify the ways which influence the amount of MDT generated by a smartphone. This paper increases the awareness of the users of the methods of generating smartphone MDT. The research also allows users to specify parameters that affect the prediction of generated MDT of a smartphone.
Bošnjak I. Technology of Telecommunications Traffic 2 [in Croatian]. Zagreb, Croatia: University of Zagreb, Faculty of Transport and Traffic Science; 2001.
Gerpott, TJ, Thomas S. Empirical Research on mobile Internet usage: A meta-analysis of the literature. Telecommunications Policy. 2014;38:291-310. doi: 10.1016/j.telpol.2013.10.003
Hanbo, Z. Emerging Business Models of the Mobile Internet Market [Master's Thesis]. Helsinky, Finland; 2008.
Gerpott, TJ. Communication behaviors and perceptions of mobile internet adopters. Emerald Group Publishing Limited. 2010;12(4):54-73. doi: 10.1108/14636691011057082
Kivi A. Diffusion of Mobile Data in Finland. Netnomics. 2010;11(3):243-54. doi: 10.1007/s11066-009-9038-1
GSMA. The Mobile Economy 2014; 2014.
Nielsen. The Mobile Consumer: A Global Snapshot. New York, USA; 2013.
Riikonen, A. Mobile Internet Usage - Network Traffic Measurements [Master’s Thesis]. Helsinky, Finland; 2009.
Cisco Systems. Cisco Visual Networking Index: Global Mobile Data Traffic Forecast Update, 2014-2019; 2015.
Ericsson. Ericsson Mobility Report: On the Pulse of the Networked Society. Stockholm, Sweden; 2014.
Palit R, Naik K, Singh A. Anatomy of WiFi Access Traffic of Smartphones and Implications for Energy Saving Techniques. International Journal of Energy, Information and Communications. 2012;3(1):1-16.
Deloitte. Mobile Consumer 2014: The UK cut. London, UK; 2014.
Rana J, Bjelland J, Couronne T, Sundsøy P, Wagner D, Rice A. A handset-centric view of smartphone application use. The 11th International Conference on Mobile Systems and Pervasive Computing; 2014 Aug 17-20; Niagara Falls, Ontario, Canada; 2014.
Verkasalo HT. Handset-based measurement of smartphone service evolution in Finland. Journal of Targeting, Measurement and Analysis for Marketing. 2007;16(1):7-25. doi: 10.1057/palgrave.jt.5750060
Verkasalo H, Hämmäinen H. Handset-based monitoring of mobile subscribers. Helsinki, Finland; 2006.
Alwahaishi S, Snášel V. Factors influencing the consumer's adoption of mobile internet. The Third International Conference on Digital Information and Communication Technology and its Applications (DICTAP2013); 2013 July 8-10; Ostrava, Czech Republic; 2013. p. 31-39.
Falaki H, Lymberopoulos D, Mahajan R, Kandula S, Estrin D. A First Look at Traffic on Smartphones. IMC '10 Proceedings of the 10th ACM SIGCOMM; 2010 Nov 1-3; Melbourne, Australia; New York, USA: ACM; 2010. p. 281-287.
Baghel SK, Keshav K, Manepalli VR. An Investigation Into Traffic Analysis for Diverse Data Applications on Smartphones. 2012 National Conference on Communications; 2012 Feb 3-5; Kharagpur, India; 2012.
Ghose A, Han SP. An Empirical Analysis of User Content Generation and Usage Behavior on the Mobile Internet. Management Science. Management Science. 2011;57(9):1671-91. doi: 10.1287/mnsc.1110.135
He X, Lee PPC, Pan L, He C, Lui JCS. A Panoramic View of 3G Data/Control-Plane Traffic: Mobile Device Perspective. 11th International IFIP TC 6 Networking Conference; 2012 May 23-25; Praha, Czech Republic; 2012.
Yang J, Qiao Y, Zhang X, He H, Liu F, Cheng G. Characterizing User Behavior in Mobile Internet. IEEE Transactions on Emerging Topics in Computing. 2015;3(1):95-
doi: 10.1109/TETC.2014.2381512.
Fuksa M. Mobile technologies and services development impact on mobile Internet usage in Latvia. Procedia Computer Science. 2013;26;41-51. doi: 10.1016/j.procs.2013.12.006
Gerpott TJ. Impacts of mobile Internet use intensity on the demand for SMS and voice services of mobile network operators: An empirical multi-method study of German mobile Internet customers. Telecommunications Policy. 2010;34(8):430-43. doi: 10.1016/j.telpol.2010.06.003
Gerpott TJ, Thomas S, Weichert M. Characteristics and mobile Internet use intensity of consumers with different types of advanced handsets: An exploratory empirical study of iPhone, Android and other web-enabled mobile users in Germany. Telecommunications Policy. 2013;37(4-5):357-71. doi: 10.1016/j.telpol.2012.04.009
Torsten GJ, Thomas S, Weichert M. Personal characteristics and mobile Internet use intensity of consumers with computer-centric communication devices: An exploratory empirical study of iPad and laptop users in Germany. Telematics and Informatics. 2013;30(2):87-99. doi: 10.1016/j.tele.2012.03.008
Ericsson. Ericsson Mobility Report Europe. Stockholm, Sweden; 2014.
GSMA. Mobile Spectrum - Data demand explained. London, UK; 2014.
Broadband Commission. The State of Broadband 2014: Broadband for All. Geneva, Switzerland; 2014.
Deloitte. Phablets are not a phad; 2014.
Mobidia. Mobile Media Consumption Report: Larger smartphone screens drive greater user activity; 2014.
Citrix Systems. Mobile Analytics Report; 2015.
Wandera. Enterprise Mobile Data Report - Q3; 2013.
Analysys Mason. Consumer Smartphone Usage: Data Traffic and Network Usage Patterns; 2012.
Onavo. Onavo Blog: Android and iPhone data usage [Internet]. 2011 Apr. [cited 2015 Jul 3] Available from: http://blog.onavo.com/2011/07/android-iphone-data-consumption-model/
Ovum. Smartphone & tablet usage trends & insights - 4G LTE and Wi-Fi powering data consumption. USA; 2015.
Mobilink. Mobile internet data usage [Internet]. 2015 April [cited 2015 Dec 12]. Available from: http://www.mobilink.com.pk/mobile-internet/data-usage/
ACCAN. How to use less data on your smartphone. Ultimo, NSW, Australia; 2014.
Onavo. App Stores exposed as major user of mobile data. USA; 2011.
CNet. 11 ways to trick Android into using less data; 2013.
Technology Personalised. How to Make Your Smartphone Consume Less Data; 2014.
Intel Free Press. How to Lower Data Usage on Your Smartphone: Our 6 Tips; 2014.
Rathi S, Malik N, Chahal N, Malik S. Throughput for TDD and FDD 4 G LTE Systems. International Journal of Innovative Technology and Exploring Engineering (IJITEE). 2008 May;3(12):73-77.
Agilent Technologies. Introducing LTE-Advanced. USA; 2011.
ToolsNepal. How to reduce data usage with Chrome’s Data Saver?; 2015.
Opera, 'Data savings and turbo mode,' Opera Inc., December 2015. [Online]. Available: http://www.opera.com/turbo.
Svoboda P. Measurement and Modelling of Internet Traffic over 2.5 and 3G Cellular Core Network [PhD thesis]. Vienna, Austria: Vienna University of Technology, Fakultät für Elektrotechnik und Informationstechnik; 2008.
Ofcom. Measuring mobile broadband performance in the UK; 2014.
Internet Society. Global Internet Report 2014: Open and Sustainable Access for All. Geneva, Switzerland; 2014.
Informa UK. Understanding today’s smartphone user: Demystifying data usage trends on cellular & Wi-Fi networks; 2012.
Teshager K. Strategic Use of Wi-Fi in Mobile Broadband Networks [Master’s Thesis]. Vaasa, Finland: University of Vaasa, Faculty of Technology; 2011.
Lee K, Lee J, Yi Y, Rhee I, Chong S. Mobile Data Offloading: How Much Can WiFi deliver?. IEEE/ACM Transactions on Networking. 2013;21(2):536-50. doi: 10.1109/TNET.2012.2218122
Sen S, Joe-Wong C, Ha S, Chiang M. Incentivizing Time-Shifting of Data: A Survey of Time-Dependent Pricing for Internet Access. IEEE Communications Magazine. 2012;50(11):91-99. doi: 10.1109/MCOM.2012.6353688.
WirelessED. Using Mobile Data Wisely; 2011.
E. Kaasinen. User acceptance of location-aware mobile guides based on seven field studies. Behaviour & Information Technology. 2005;24(1):37-49. doi: 10.1080/01449290512331319049
Hinze D, Findling R, Scholz S, Mayrhofer R. Mobile Device Usage Characteristics: The Effect of Context and Form Factor on Locked and Unlocked Usage. MoMM '14 Proceedings of the 12th International Conference on Advances in Mobile Computing and Multimedia; 2014 Dec 8-10; New York, SAD; 2014.
Soikkeli T, Juuso K, Hämmäinen H. Characterizing Smartphone Usage: Diversity and End User Context. International Journal of Handheld Computing Research. 2013;4(1):15-36. doi: 10.4018/jhcr.2013010102
Soikkeli T, Karikoski J, Hämmäinen H. Diversity and end user context in smartphone usage sessions. Fifth International Conference on Next Generation Mobile Applications, Services and Technologies (NGMAST 2011). 2011 Sep 14-16; Cardiff, UK; 2011. p. 7-12.
Jiang S, Zhou P, Li M. Detecting Phantom Data Usage on Smartphones with Analysis of Contextual Information. International Journal of Distributed Sensor Networks. 2015:2015(1):16-27. doi: 10.1155/2015/135150
Guest Editor: Eleonora Papadimitriou, PhD
Editors: Dario Babić, PhD; Marko Matulin, PhD; Marko Ševrović, PhD.
The mission of our journal is to provide high quality communication of research results, which is crucial for the effectiveness of scientific research, the promotion of scientific information, new ideas, and original research in the field of traffic and transportation engineering.
1848-4069
0353-5320
Proud publisher
Accelerating Discoveries in Traffic Science |
2024 © Promet - Traffic&Transportation journal
