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Mobile Networks and Applications
Erschienen in: Mobile Networks and Applications 6/2017

26.04.2017

Exploiting Energy Efficient Emotion-Aware Mobile Computing

verfasst von: Yuyang Peng, Limei Peng, Ping Zhou, Jun Yang, Sk Md Mizanur Rahman, Ahmad Almogren

Erschienen in: Mobile Networks and Applications | Ausgabe 6/2017

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Abstract

As people become more aware of the emotion detection and fifth generation (5G) technology, emotion-aware mobile computing has become a hot issue in the affective computing systems. Emotion-aware mobile computing utilizes mobile and computing technology to detect the affective state of a person. It is a new active research area and will bring many attractive applications and services with the development of 5G. Emotion-aware mobile computing has two main veins: analysis and computation. With the support of big data and cloud computing technology, mobile users are able to obtain better performance in terms of resource intensive service. The whole process of emotion-aware mobile computing requires data collection, data transmission, data analysis, data cognition, and emotion-aware action feedback. In order to detect the accurate emotion, massive data are required to be processed in each step. Therefore, the energy consumption is not an ignorable issue in this technology. In this paper, a framework of energy efficient emotion-aware mobile computing system is proposed. It considers the energy saving from both local user part and remote data centers part. In the local user part, the energy efficient data transmission approach is introduced while in the remote data centers part, the renewable energy based geo-distributed data centers are considered. The results from the analysis demonstrate that the proposed framework is useful to provide energy saving while keeping quality of service (QoS).
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Metadaten
Titel
Exploiting Energy Efficient Emotion-Aware Mobile Computing
verfasst von
Yuyang Peng
Limei Peng
Ping Zhou
Jun Yang
Sk Md Mizanur Rahman
Ahmad Almogren
Publikationsdatum
26.04.2017
Verlag
Springer US
Erschienen in
Mobile Networks and Applications / Ausgabe 6/2017
Print ISSN: 1383-469X
Elektronische ISSN: 1572-8153
DOI
https://doi.org/10.1007/s11036-017-0865-2

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