Sensing user context and habits for run-time energy optimization
作者: Ismat Chaib DraaSmail NiarJamel TayebEmmanuelle GrislinMikael Desertot
作者单位: 1University of Valenciennes
2Intel Corporation
刊名: EURASIP Journal on Embedded Systems, 2017, Vol.2017 (1), pp.1-19
来源数据库: Springer Journal
DOI: 10.1186/s13639-016-0036-8
关键词: Energy consumptionRun-time user and application analysisDevice’s contextApplications sequences prediction
英文摘要: Optimizing energy consumption in modern mobile handheld devices plays a very important role as lowering energy consumption impacts battery life and system reliability. With next-generation smartphones and tablets, the number of sensors and communication tools will increase and more and more communication interfaces and protocols such as Wi-Fi, Bluetooth, GPRS, UMTS, and LTE will be incorporated. Consequently, the fraction of energy consumed by these components will be larger. Nevertheless, the use of the large amount of data from the different sensors can be beneficial to detect the changing user context, to understand habits, and to detect running application needs. All these information, when used properly, may lead to an efficient energy consumption control. This paper proposes a tool...
全文获取路径: Springer  (合作)
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