. "Energy Consumption; Measurement Methodology; Mobile Computing; Modeling Techniques"@en . . "2014 IEEE Wireless Communications and Networking Conference (WCNC) workshops" . "2014-04-06+02:00"^^ . . "21230" . . . "28642" . . "Methodology and Tool for Energy Consumption Modeling of Mobile Devices" . "RIV/68407700:21230/14:00226608!RIV15-MSM-21230___" . . . . "10.1109/WCNCW.2014.6934857" . . "Methodology and Tool for Energy Consumption Modeling of Mobile Devices"@en . . . "Current mobile devices evolve quickly and bring more powerful hardware to users. However, rate of such development surpasses advances in creation more durable batteries. Although energy awareness of mobile devices is utmost important, the significance of results of energy consumption modeling drops rapidly due to never-ending massive release of new mobile devices. In this paper, we describe new methodology and tool developed for measurement of energy consumption of user devices. Using this new tool, we carry out measurements of selected non-radio components (CPU, screen, I/O storage operations, speakers) of smartphones. For each component, several parameters are investigated. These parameters influence how a component is used by a user and therefore have great impact on overall energy consumption. Moreover, mathematical models are proposed in order to predict energy consumption without necessity to perform measurements and to determine expected consumption in real time."@en . "[2FB79DF045C3]" . "Piscataway" . "RIV/68407700:21230/14:00226608" . "Methodology and Tool for Energy Consumption Modeling of Mobile Devices" . "6"^^ . "R" . "Dole\u017Eal, Jakub" . "9781479930838" . "Istanbul" . "Methodology and Tool for Energy Consumption Modeling of Mobile Devices"@en . "2"^^ . "2"^^ . . "000349466400007" . . . "Be\u010Dv\u00E1\u0159, Zden\u011Bk" . "IEEE" . . . "Current mobile devices evolve quickly and bring more powerful hardware to users. However, rate of such development surpasses advances in creation more durable batteries. Although energy awareness of mobile devices is utmost important, the significance of results of energy consumption modeling drops rapidly due to never-ending massive release of new mobile devices. In this paper, we describe new methodology and tool developed for measurement of energy consumption of user devices. Using this new tool, we carry out measurements of selected non-radio components (CPU, screen, I/O storage operations, speakers) of smartphones. For each component, several parameters are investigated. These parameters influence how a component is used by a user and therefore have great impact on overall energy consumption. Moreover, mathematical models are proposed in order to predict energy consumption without necessity to perform measurements and to determine expected consumption in real time." .