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Energies
Volume 12
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10.3390/en12010184
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Article

Modeling the Total Energy Consumption of Mobile Network Services and Applications

by
Ming Yan
1,*,
Chien Aun Chan
2,*,
André F. Gygax
2,3,
Jinyao Yan
1,
Leith Campbell
4,
Ampalavanapillai Nirmalathas
4 and
Christopher Leckie
5
1
Faculty of Science and Technology, Communication University of China, Beijing 100024, China
2
Networked Society Institute, University of Melbourne, Melbourne, VIC 3010, Australia
3
Department of Finance, Faculty of Business and Economics, University of Melbourne, Melbourne, VIC 3010, Australia
4
Department of Electrical and Electronic Engineering, University of Melbourne, Melbourne, VIC 3010, Australia
5
School of Computing and Information Systems, University of Melbourne, Melbourne, VIC 3010, Australia
*
Authors to whom correspondence should be addressed.
Energies 2019, 12(1), 184; https://doi.org/10.3390/en12010184
Submission received: 28 November 2018 / Revised: 26 December 2018 / Accepted: 3 January 2019 / Published: 7 January 2019
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Abstract

Reducing the energy consumption of Internet services requires knowledge about the specific traffic and energy consumption characteristics, as well as the associated end-to-end topology and the energy consumption of each network segment. Here, we propose a shift from segment-specific to service-specific end-to-end energy-efficiency modeling to align engineering with activity-based accounting principles. We use the model to assess a range of the most popular instant messaging and video play applications to emerging augmented reality and virtual reality applications. We demonstrate how measurements can be conducted and used in service-specific end-to-end energy consumption assessments. Since the energy consumption is dependent on user behavior, we then conduct a sensitivity analysis on different usage patterns and identify the root causes of service-specific energy consumption. Our main findings show that smartphones are the main energy consumers for web browsing and instant messaging applications, whereas the LTE wireless network is the main consumer for heavy data applications such as video play, video chat and virtual reality applications. By using small cell offloading and mobile edge caching, our results show that the energy consumption of popular and emerging applications could potentially be reduced by over 80%.
Keywords: mobile service; energy consumption; energy model; end-to-end communication networks; service-specific mobile service; energy consumption; energy model; end-to-end communication networks; service-specific

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MDPI and ACS Style

Yan, M.; Chan, C.A.; Gygax, A.F.; Yan, J.; Campbell, L.; Nirmalathas, A.; Leckie, C. Modeling the Total Energy Consumption of Mobile Network Services and Applications. Energies 2019, 12, 184. https://doi.org/10.3390/en12010184

AMA Style

Yan M, Chan CA, Gygax AF, Yan J, Campbell L, Nirmalathas A, Leckie C. Modeling the Total Energy Consumption of Mobile Network Services and Applications. Energies. 2019; 12(1):184. https://doi.org/10.3390/en12010184

Chicago/Turabian Style

Yan, Ming, Chien Aun Chan, André F. Gygax, Jinyao Yan, Leith Campbell, Ampalavanapillai Nirmalathas, and Christopher Leckie. 2019. "Modeling the Total Energy Consumption of Mobile Network Services and Applications" Energies 12, no. 1: 184. https://doi.org/10.3390/en12010184

APA Style

Yan, M., Chan, C. A., Gygax, A. F., Yan, J., Campbell, L., Nirmalathas, A., & Leckie, C. (2019). Modeling the Total Energy Consumption of Mobile Network Services and Applications. Energies, 12(1), 184. https://doi.org/10.3390/en12010184

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