Energy-Aware Advertising Through Quality-Aware Prefetching on Smartphones

Yi Yang, Yeli Geng, Guohong Cao

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

In-app advertising provides a monetization solution for free apps, but also consumes lots of energy due to the long tail problem in cellular networks. To reduce the tail energy, we can predict the number of ads needed in the future and then prefetch those ads together instead of periodically. However, prefetching unnecessary ads may waste both energy and cellular bandwidth, and this problem becomes worse when the network quality is poor. In this paper, we propose network quality aware prefetching algorithms. First, we design a prediction algorithm which generates a set of prefetching options with various probabilities. Second, with these prefetching options, we propose two prefetching algorithms to reduce the energy consumption by considering the effect of network quality, where the energy-aware prefetching algorithm aims to minimize the energy consumption, and the energy-and-data aware prefetching algorithm considers the data usage to achieve a tradeoff between energy and data usage. Evaluation results show that, compared to traditional ways of fetching ads periodically, our energy-aware prefetching algorithm can save 80% of energy under various network quality, and our energy-and-data aware prefetching algorithm can achieve similar energy saving with less data usage.

Original languageEnglish (US)
Title of host publicationProceedings - 14th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, MASS 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages144-152
Number of pages9
ISBN (Electronic)9781538623237
DOIs
StatePublished - Nov 14 2017
Event14th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, MASS 2017 - Orlando, United States
Duration: Oct 22 2017Oct 25 2017

Publication series

NameProceedings - 14th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, MASS 2017

Other

Other14th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, MASS 2017
CountryUnited States
CityOrlando
Period10/22/1710/25/17

All Science Journal Classification (ASJC) codes

  • Mechanical Engineering
  • Instrumentation
  • Electrical and Electronic Engineering

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