CFP last date
20 May 2024
Call for Paper
June Edition
IJCA solicits high quality original research papers for the upcoming June edition of the journal. The last date of research paper submission is 20 May 2024

Submit your paper
Know more
The week's pick
Responsive image
Enhancing Privacy Preservation: Multi-Attribute Protection with P-Sensitive K-Anonymity

Twinkle Patel Kiran Amin
Random Articles
Reseach Article

Analyzing Network and Energy Efficiency of Android Smartphone Applications

by Rashi Garg, Shaifali Gupta
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 120 - Number 21
Year of Publication: 2015
Authors: Rashi Garg, Shaifali Gupta
10.5120/21353-4262

Rashi Garg, Shaifali Gupta . Analyzing Network and Energy Efficiency of Android Smartphone Applications. International Journal of Computer Applications. 120, 21 ( June 2015), 27-33. DOI=10.5120/21353-4262

@article{ 10.5120/21353-4262,
author = { Rashi Garg, Shaifali Gupta },
title = { Analyzing Network and Energy Efficiency of Android Smartphone Applications },
journal = { International Journal of Computer Applications },
issue_date = { June 2015 },
volume = { 120 },
number = { 21 },
month = { June },
year = { 2015 },
issn = { 0975-8887 },
pages = { 27-33 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume120/number21/21353-4262/ },
doi = { 10.5120/21353-4262 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:06:49.704978+05:30
%A Rashi Garg
%A Shaifali Gupta
%T Analyzing Network and Energy Efficiency of Android Smartphone Applications
%J International Journal of Computer Applications
%@ 0975-8887
%V 120
%N 21
%P 27-33
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Mobile phones and tablets can be considered as the first in-carnation of the post-PC era. Their explosive adoption rates lead to the emergence of a variety of Applications. Most attractive feature of these applications is that they are available for a variety of OS. Many of these applications, for example VoIP clients, stay active in the background. In the background, they may not communicate large amounts of data. However, their regular bursts of activity can lead to large signaling overheads, wastage of radio resources, and draining of a phone's battery. Signaling overheads can lead to service outage by overloading the radio network controller of the 3G network. Thus in addition to aiding user, these convenience applications can pose several threats to the user handset and the Network. In this Work, We study the various Problems that persist affecting the user handset and Network and the solutions that exist for dealing with these problems. We attempt to classify the Problem and Solutions into various categories and list all the available solutions that exist for a given problem.

References
  1. Behavior analysis of smartphone. Huawei Technologies Co. Ltd. , 2011.
  2. Understanding smartphone behavior in the network. Nokia Siemens Networks Smart Labs, 2011.
  3. Behavior analysis of smartphones in 3g networks. Aexio, 2012.
  4. Managing background data traffic in mobile devices. Qualcomm Incorporated, 2012.
  5. Understanding and managing smartphones in the network. Aspire Technology Ltd. , 2013.
  6. A. N. Balasubramanian, A. Balasubramanian, and Venkataramani. Energy consumption in mobile phones: A measurement study and implications for network applications. ACM IMC, November 2009.
  7. A. C. Gadekar, A. U. Jagtap, A. J. Kunchalas, and A. Jadhav. Rubik's cube application for android mobile phones with addressing android operating system problems. Global Journal of Computer Science and Technology, 12(0975-4350), April 2012.
  8. S. Gupta, R. Garg, N. Jain, V. Naik, and S. Kaul. Android phone based appraisal of app behavior on cell networks. Technical Report IIITD-TR-2013-003, IIIT-Delhi, October 2013.
  9. H. Holma and A. Toskala. WCDMA for UMTS: Radio Access for Third Generation Mobile Communications. John Wiley and Sons Inc. , New York,USA, 2004.
  10. Y. Kim and J. Kim. Personalized diapause: Reducing radio energy consumption of smartphones by network-context aware dormancy predictions. ACM IMC, October 2012.
  11. V. Konnen and P. Paakkonen. Optimizing power consumption of always-on applications based on timer alignment. IEEE, January 2011.
  12. X. Ma, P. Huang, X. Jin, P. Wang, S. Park, D. Shen, Y. Zhou, L. K. Saul, and G. M. Voelker. edoctor: Automatically diagnosing abnormal battery drain issues on smartphones. USENIX Association Berkeley, CA, USA c 2013, April 2004.
  13. F. Qian, Z. Wang, Y. Gao, J. Huang, A. Gerber, Z. M. Mao, S. Sen, and O. Spatscheck. Periodic transfers in mobile applications: Network-wide origin, impact, and optimization. ACM WWW, April 2012.
  14. F. Qian, Z. Wang, A. Gerber, Z. M. Mao, S. Sen, and O. Spatscheck. Top: Tail optimization protocol for cellular radio resource allocation. IEEE INCP International Conference, October 2010.
  15. M. Siekkinen, M. Ashraful, and M. Aalto. Streaming over 3g and lte: How to save smartphone energy in radio access network-friendly way. ACM Movid, february 2013.
  16. M. Paolini and S. Fili. The taming of the app. Sponsored By:Seven Networks(http://www. seven. com/), 2013
  17. N. Vallina-Rodriguez, J. Shah, A. Finamore, Y. Grunenberger, H. Haddadi, K. Papagiannaki, and J. Crowcroft. Breaking for commercials: Characterizing mobile advertising. ACM IMC, November 2012.
  18. B. Weir and D. Sillars. Top radio resource issues in mobile application development. AT&T Developer Support Team, 2011.
Index Terms

Computer Science
Information Sciences

Keywords

RRC states Smartphone apps resource utilization Network efficiency Energy Efficiency

Powered by PhDFocusTM