Energy Consumption Analysis and Adaptive Energy Saving Solutions for Mobile Device Applications

Kennedy, Martin; Venkataraman, Hrishikesh; Muntean, Gabriel‐Miro

doi:10.1007/978-3-642-22179-8_9

Cited by 9 publications

(7 citation statements)

References 14 publications

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“…Today smartphone users experience limited battery lifetime, and the trend is not expected to improve in the future. This is due to an increasing gap between smartphone battery capacity and the energy required to power a smartphone, [1], [2], using complex telecommunication standards, such as the UTRAN Long Term Evolution (LTE) standard [3]. This is a major issue because User Equipment (UE) battery life is key to achieve high user satisfaction [4].…”

Section: Introductionmentioning

confidence: 99%

“…In previous work smartphone power consumption was examined by running an application on the phone, which logs battery discharge [5] or, by measuring the power drain using external monitoring equipment [2], [6]. All measurements were made in a live network entailing the authors could not control and record network settings.…”

Section: Introductionmentioning

confidence: 99%

“…The general approach to smartphone modelling is to apply submodels covering the screen, network modem, CPU and other components. In [2], [5] the screen power consumption as a function of general and pixel brightness, and the CPU power consumption as a function of utilization, and in [5] also as a function of clock frequency, is examined. Each study briefly examines WiFi but completely disregard the cellular modem.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Empirical LTE Smartphone Power Model with DRX Operation for System Level Simulations

Lauridsen

Mogensen

Noel³

2013

2013 IEEE 78th Vehicular Technology Conference (VTC Fall)

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An LTE smartphone power model is presented to enable academia and industry to evaluate users' battery life on system level. The model is based on empirical measurements on a smartphone using a second generation LTE chipset, and the model includes functions of receive and transmit data rates and power levels. The first comprehensive Discontinuous Reception (DRX) power consumption measurements are reported together with cell bandwidth, screen and CPU power consumption.The transmit power level and to some extent the receive data rate constitute the overall power consumption, while DRX proves to be a very efficient method to prolong the battery life.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Empirical LTE Smartphone Power Model with DRX Operation for System Level Simulations

Lauridsen

Mogensen

Noel³

2013

2013 IEEE 78th Vehicular Technology Conference (VTC Fall)

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“…The power consumed by the screen of a mobile device depends on the screen brightness level and the pixel brightness level of images reflected on it. In particular, the screen energy consumption depends exponentially on the brightness of the image pixels, but linearly on the screen brightness level [10].…”

Section: Introductionmentioning

confidence: 99%

A Methodology for Extracting Power-Efficient and Contrast Enhanced RGB Images

Δρίτσας

Trigka

2022

Sensors

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Smart devices have become an integral part of people’s lives. The most common activities for users of such smart devices that are energy sources are voice calls, text messages (SMS) or email, browsing the World Wide Web, streaming audio/video, and using sensor devices such as cameras, GPS, Wifi, 4G/5G, and Bluetooth either for entertainment or for the convenience of everyday life. In addition, other power sources are the device screen, RAM, and CPU. The need for communication, entertainment, and computing makes the optimal management of the power consumption of these devices crucial and necessary. In this paper, we employ a computationally efficient linear mapping algorithm known as Concurrent Brightness & Contrast Scaling (CBCS), which transforms the initial intensity value of the pixels in the YCbCr color system. We introduce a methodology that gives the user the opportunity to select a picture and modify it using the suggested algorithm in order to make it more energy-friendly with or without the application of a histogram equalization (HE). The experimental results verify the efficacy of the presented methodology through various metrics from the field of digital image processing that contribute to the choice of the optimal values for the parameters a,b that meet the user’s preferences (low or high-contrast images) and green power. For both low-contrast and low-power images, the histogram equalization should be omitted, and the appropriate a should be much lower than one. To create high-contrast and low-power images, the application of HE is essential. Finally, quantitative and qualitative evaluations have shown that the proposed approach can achieve remarkable performance.

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“…Specifically, growth is observed in areas such as codecs design, video compression, efficient screen display, yet in terms of the smartphone battery the depletion problem remains. This issue is considered the biggest hinderance of electronic devices in general and smartphone devices in particular [1]. It is considered that this issue will continue becoming more and more relevant as mobile devices (e.g.…”

Section: Introductionmentioning

confidence: 99%

The evolution of energy requirements of smartphones based on user behaviour and implications of the COVID-19 era

Almasri

Gouveia

2021

IJECE

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Smartphones have evolved to become frequent companions to humans. The common problem shared by Android users of smartphones was, and continues to be, about saving their batteries and preventing the need to use any recharging tools. A significant number of studies have been performed in the general field of "saving energy in smartphones". During a state of global lockdown, the use of smartphone devices has skyrocketed, and many governments have implemented location-tracking applications for their citizens as means of ensuring that the imposed governmental restrictions are being adhered to. Since smartphones are battery-powered, the opportunity to conserve electricity and ensure that the handset does not have to be charged so much or that it does not die and impede location-tracking during this period of crisis is of vital significance, impacting not only the reliability of tracking, but also the usability of the mobile itself. While there are methods to reduce the battery’s drain from mobile app use, they are not fully utilized by users. Simultaneously, the following the manuscript demonstrates the growing prevalence of mobile applications in daily lives, as well as the disproportionally increasing phone functionality, which results in the creation of a dependency towards smartphone use and the need of energy to recharge and operate theses smartphones.

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Energy Consumption Analysis and Adaptive Energy Saving Solutions for Mobile Device Applications

Cited by 9 publications

References 14 publications

Empirical LTE Smartphone Power Model with DRX Operation for System Level Simulations

Empirical LTE Smartphone Power Model with DRX Operation for System Level Simulations

A Methodology for Extracting Power-Efficient and Contrast Enhanced RGB Images

The evolution of energy requirements of smartphones based on user behaviour and implications of the COVID-19 era

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