NDLI: Usage pattern analysis of smartphones

Content Provider	IEEE Xplore Digital Library
Author	Joon-Myung Kang Sin-seok Seo Hong, J.W.-K.
Copyright Year	2011
Description	Author affiliation: Department of Computer Science and Engineering, Pohang University of Science and Technology (POSTECH), Pohang, Republic of Korea (Joon-Myung Kang; Sin-seok Seo) \|\| Division of IT Convergence Engineering, Pohang University of Science and Technology (POSTECH), Pohang, Republic of Korea (Hong, J.W.-K.)
Abstract	Recently, mobile traffic has increased tremendously due to the deployment of smart devices such as smartphones and smart tablets. These devices use various types of access networks such as 3G, WiFi, and mobile WiMAX. Network service providers also provide these access networks with various types of plans. There is a growing need to manage these smart devices and mobile networks. However, research on mobile network management has focused on the performance of the network itself. Few research has focused on applying the usage patterns of smartphone users to mobile network management. In this paper, we present an analysis of smartphone usage patterns. We define the five possible states of a smartphone based on such a phone's basic operations. We collected real usage log data from real smartphone users over a two month period. We show that all users have their own usage pattern. We present a case study in order to show how to apply usage pattern information to power management of smartphones. We also discuss how to apply such information to mobile device management and network management.
Starting Page	1
Ending Page	8
File Size	560096
Page Count	8
File Format	PDF
ISBN	9781457716683
e-ISBN	9781457716706
DOI	10.1109/APNOMS.2011.6077030
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-09-21
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Mobile network management Smartphone management IEEE 802.11 Standards Personalization Usage pattern analysis Mobile communication Batteries Data communication Smart phones Mobile computing
Content Type	Text
Resource Type	Article

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