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Towards energy-efficient mobile ad optimization: an app developer perspective

Advertising over smart devices is one of the growing trends in the information technology domain. Most of the Android application (app) developers generate revenue through the use of ads, but on the other hand, the end users get the free app. However, the excessive number of ads infers hidden costs...

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Main Authors:	Ahmad Raza Hameed, Saif Ul Islam, Ahmad Almogren, Hasan Ali Khattak, Ikram Ud Din, Abdullah Gani
Format:	Article
Language:	English
Published:	MDPI AG, Basel, Switzerland 2020
Subjects:	QA75.5-76.95 Electronic computers. Computer science TK7885-7895 Computer engineering. Computer hardware
Online Access:	https://eprints.ums.edu.my/id/eprint/42492/1/FULL%20TEXT.pdf https://eprints.ums.edu.my/id/eprint/42492/ http://dx.doi.org/10.3390/app10196889
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id	my.ums.eprints.42492
record_format	eprints
spelling	my.ums.eprints.424922024-12-31T03:18:14Z https://eprints.ums.edu.my/id/eprint/42492/ Towards energy-efficient mobile ad optimization: an app developer perspective Ahmad Raza Hameed Saif Ul Islam Ahmad Almogren Hasan Ali Khattak Ikram Ud Din Abdullah Gani QA75.5-76.95 Electronic computers. Computer science TK7885-7895 Computer engineering. Computer hardware Advertising over smart devices is one of the growing trends in the information technology domain. Most of the Android application (app) developers generate revenue through the use of ads, but on the other hand, the end users get the free app. However, the excessive number of ads infers hidden costs with respect to energy consumption, network utilization, and user comfort. These factors affect the app rating and reviews. Consequently, developers require a technique to balance app performance through optimized mobile ad usage. Therefore, in this paper, we extend an existing work and propose an energy-efficient method that uses gamma correction to reduce the hidden costs of a mobile app. In this approach, gamma correction efficiently balances the app performance by minimizing the size of ads. The size of the mobile ad is reduced by adjusting its pixels, reducing background color, and illuminating the content of the ad. After several experiments, it is deduced that our proposed approach efficiently saves mobile battery and developers can apply this approach to improve app rank and feedback. MDPI AG, Basel, Switzerland 2020 Article NonPeerReviewed text en https://eprints.ums.edu.my/id/eprint/42492/1/FULL%20TEXT.pdf Ahmad Raza Hameed and Saif Ul Islam and Ahmad Almogren and Hasan Ali Khattak and Ikram Ud Din and Abdullah Gani (2020) Towards energy-efficient mobile ad optimization: an app developer perspective. Applied Sciences, 10. pp. 1-12. http://dx.doi.org/10.3390/app10196889
institution	Universiti Malaysia Sabah
building	UMS Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Malaysia Sabah
content_source	UMS Institutional Repository
url_provider	http://eprints.ums.edu.my/
language	English
topic	QA75.5-76.95 Electronic computers. Computer science TK7885-7895 Computer engineering. Computer hardware
spellingShingle	QA75.5-76.95 Electronic computers. Computer science TK7885-7895 Computer engineering. Computer hardware Ahmad Raza Hameed Saif Ul Islam Ahmad Almogren Hasan Ali Khattak Ikram Ud Din Abdullah Gani Towards energy-efficient mobile ad optimization: an app developer perspective
description	Advertising over smart devices is one of the growing trends in the information technology domain. Most of the Android application (app) developers generate revenue through the use of ads, but on the other hand, the end users get the free app. However, the excessive number of ads infers hidden costs with respect to energy consumption, network utilization, and user comfort. These factors affect the app rating and reviews. Consequently, developers require a technique to balance app performance through optimized mobile ad usage. Therefore, in this paper, we extend an existing work and propose an energy-efficient method that uses gamma correction to reduce the hidden costs of a mobile app. In this approach, gamma correction efficiently balances the app performance by minimizing the size of ads. The size of the mobile ad is reduced by adjusting its pixels, reducing background color, and illuminating the content of the ad. After several experiments, it is deduced that our proposed approach efficiently saves mobile battery and developers can apply this approach to improve app rank and feedback.
format	Article
author	Ahmad Raza Hameed Saif Ul Islam Ahmad Almogren Hasan Ali Khattak Ikram Ud Din Abdullah Gani
author_facet	Ahmad Raza Hameed Saif Ul Islam Ahmad Almogren Hasan Ali Khattak Ikram Ud Din Abdullah Gani
author_sort	Ahmad Raza Hameed
title	Towards energy-efficient mobile ad optimization: an app developer perspective
title_short	Towards energy-efficient mobile ad optimization: an app developer perspective
title_full	Towards energy-efficient mobile ad optimization: an app developer perspective
title_fullStr	Towards energy-efficient mobile ad optimization: an app developer perspective
title_full_unstemmed	Towards energy-efficient mobile ad optimization: an app developer perspective
title_sort	towards energy-efficient mobile ad optimization: an app developer perspective
publisher	MDPI AG, Basel, Switzerland
publishDate	2020
url	https://eprints.ums.edu.my/id/eprint/42492/1/FULL%20TEXT.pdf https://eprints.ums.edu.my/id/eprint/42492/ http://dx.doi.org/10.3390/app10196889
_version_	1821003224592678912
score	13.226497

Towards energy-efficient mobile ad optimization: an app developer perspective

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