Power analysis of embedded software: a first step towards software power minimization
IEEE Transactions on Very Large Scale Integration (VLSI) Systems - Special issue on low-power design
Application-level prediction of battery dissipation
Proceedings of the 2004 international symposium on Low power electronics and design
Optimizing Mobile Application Performance with Model---Driven Engineering
SEUS '09 Proceedings of the 7th IFIP WG 10.2 International Workshop on Software Technologies for Embedded and Ubiquitous Systems
A system context-aware approach for battery lifetime prediction in smart phones
Proceedings of the 2011 ACM Symposium on Applied Computing
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Today, mobile devices are being used for various applications such as making voice/video calls, browsing Internet and so on. The operating time and battery consumption spent in those activities affect the battery life of mobile devices. In this paper, we propose a method for predicting the battery lifetime of mobile devices based on usage patterns. We define the possible states of mobile devices based on their operating functions and develop a method of predicting battery lifetime based on average battery consumption and duration of each state.