Paper Info
Title
Scalable Power Impact Prediction of Mobile Sensing Applications at Pre-installation Time
Abstract
Today's smartphone application (hereinafter `app') markets do not provide information on power consumption of apps, which is essential for users. Continuous sensing apps make this problem more severe because significant power is consumed without the users' awareness. We propose PowerForecaster to break through such an exhaustive cycle. It provides users with personalized estimation of sensing apps...
Year
DOI
Venue
2020
10.1109/TMC.2019.2909897
IEEE Transactions on Mobile Computing
Keywords
DocType
Volume
Sensors,Emulation,Estimation,Batteries,Mobile applications,Power demand,Hardware
Journal
19
Issue
ISSN
Citations 
6
1536-1233
0
PageRank 
References 
Authors
0.34
0
7
Name
Order
Citations
PageRank
Chulhong Min136230.13
Youngki Lee283270.33
Chungkuk Yoo327818.10
Inseok Hwang486669.91
Younghyun Ju527114.55
Junehwa Song61384105.08
Seungwoo Kang755837.84