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• W1869828010 abstract "Although evolving mobile technologies bring millions of users closer to the vision of information anywhere-anytime, device battery depletions hamper the quality of experience to a great extent. We argue that the design of energy-efficient solutions starts by energy-awareness and propose EnergyBox, a tool that provides accurate and repeatable energy consumption studies for 3G and WiFi transmissions at the user end. We recognize that the energy consumption of data transmission is highly dependable on the traffic pattern, and provide the means for trace-based iterative packet-driven simulation to derive the operation states of wireless interfaces. The strength of EnergyBox is that it allows to modularly set the 3G network parameters specified at operator level, the adaptive power save mode mechanism for a WiFi device, and the different power levels of the operation states for different handheld devices. EnergyBox enables efficient energy consumption studies using real data, which complements the device-dependent laborious physical power measurements. Using real application transmission traces, we have validated EnergyBox showing an accuracy range of 94–99% for 3G and 93–99% for WiFi compared to the real measured energy consumption by a 3G modem and a smartphone with WiFi." @default.
• W1869828010 created "2016-06-24" @default.
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• W1869828010 date "2013-01-01" @default.
• W1869828010 modified "2023-10-18" @default.
• W1869828010 title "EnergyBox: A Trace-Driven Tool for Data Transmission Energy Consumption Studies" @default.
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• W1869828010 doi "https://doi.org/10.1007/978-3-642-40517-4_2" @default.
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