DocumentCode
2388782
Title
Decomposing power measurements for mobile devices
Author
Rice, Andrew ; Hay, Simon
Author_Institution
Comput. Lab., Univ. of Cambridge, Cambridge, UK
fYear
2010
fDate
March 29 2010-April 2 2010
Firstpage
70
Lastpage
78
Abstract
Modern mobile phones are an appealing platform for pervasive computing applications. However, the complexity of these devices makes it difficult for developers to understand the power consumption of their applications. Our measurement framework is the first we have seen which can produce fine-grained, annotated traces of a phone´s power consumption and is designed to develop an understanding of how particular aspects of an application drive energy use. We are using our framework to analyse the power consumption of Android-based G1 and Magic handsets and show that particular choices of message size and send buffer can alter the energy required to send data by an order of magnitude in certain cases.
Keywords
mobile computing; mobile handsets; power aware computing; Android-based G1 handset; Android-based Magic handset; mobile devices; power measurement decomposition; Application software; Energy consumption; Intelligent sensors; Laboratories; Mobile communication; Mobile handsets; Pervasive computing; Power measurement; Sensor phenomena and characterization; Telephone sets; energy measurement; mobile communication; power measurement; wireless LAN;
fLanguage
English
Publisher
ieee
Conference_Titel
Pervasive Computing and Communications (PerCom), 2010 IEEE International Conference on
Conference_Location
Mannheim
Print_ISBN
978-1-4244-5329-0
Electronic_ISBN
978-1-4244-5328-3
Type
conf
DOI
10.1109/PERCOM.2010.5466991
Filename
5466991
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