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Home » Personalized Diapause: Reducing Radio Energy Consumption of Smartphones by Network-Context Aware Dormancy Predictions
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Personalized Diapause: Reducing Radio Energy Consumption of Smartphones by Network-Context Aware Dormancy Predictions

Authors: 

Yeseong Kim and Jihong Kim, Seoul National University

Abstract: 

A large portion of radio energy in smartphones is wasted during a special waiting period, known as the tail time, after a transmission is completed. In order to save the wasted energy during the tail time, it is important to accurately predict whether a subsequent transmission will occur in the tail period. In this paper, we propose a novel general-purpose predictive dormancy technique, called Personalized Diapause (PD). By automatically extracting meaningful network activities as network contexts, our proposed technique takes advantage of per-user usage characteristics of each network context in deciding when to release a radio connection within the tail time. Our experimental results using real network usage logs from 25 users show that PD can save the radio energy consumption by up to 36% with about 10% reconnection increase. 

Yeseong Kim, Soul National University

Jihong Kim, Seoul National University

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BibTeX
@inproceedings {179445,
author = {Yeseong Kim and Jihong Kim},
title = {Personalized Diapause: Reducing Radio Energy Consumption of Smartphones by {Network-Context} Aware Dormancy Predictions},
booktitle = {2012 Workshop on Power-Aware Computing and Systems (HotPower 12)},
year = {2012},
address = {Hollywood, CA},
url = {https://www.usenix.org/conference/hotpower12/workshop-program/presentation/Kim},
publisher = {USENIX Association},
month = oct,
}
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