Proceedings ArticleDOI
Utilization-based power consumption profiling in smartphones
Narendra Kumar Shukla,Rosarium Pila,Saurabh Rawat +2 more
- pp 881-886
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TLDR
An efficient on-demand-online profiler, called pProf, that learns from offline-precomputed model parameters to reduce the online profiling cost, and consumes typically 10–15% lesser energy.Abstract:
Energy cost of crowd-sourced continuous sensing is reported to be quite high. As the number of on-board active sensors increases, complications arise due to inter-sensor interactions. The energy-cost of the Smartphones is primarily due to wireless communications (in various modes, such as, cellular radio, GPS, Wi-Fi direct, and Bluetooth) and environmental sensing using its embedded sensors in a wireless personal area network setting. The existing popular on-device-online energy-cost profilers for Android Smartphones, namely, Amobisense and PowerTutor, are energy-hungry. In this paper, we report an efficient on-demand-online profiler, called pProf, that learns from offline-precomputed model parameters to reduce the online profiling cost. We have tested our proposed technique in a customized test-bed setup comprising of the Android Smart-phones with embedded sensors that also communicate with the neighborhood sensors on smart-wearables and Sensorcon's Sensordrone platform. Our experimental measurement studies demonstrate that, compared to the popular profilers, such as Amobisense and PowerTutor, pProf consumes typically 10–15% lesser energy.read more
Citations
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Journal ArticleDOI
Power Consumption Analysis, Measurement, Management, and Issues: A State-of-the-Art Review of Smartphone Battery and Energy Usage
Pijush Kanti Dutta Pramanik,Nilanjan Sinhababu,Bulbul Mukherjee,Sanjeevikumar Padmanaban,Aranyak Maity,Bijoy Kumar Upadhyaya,Jens Bo Holm-Nielsen,Prasenjit Choudhury +7 more
TL;DR: This paper provides a generalized, but detailed analysis of the power consumption causes (internal and external) of a smartphone and also offers suggestive measures to minimize the consumption for each factor.
Journal ArticleDOI
Power profiling and monitoring in embedded systems: A comparative study and a novel methodology based on NARX neural networks
Oussama Djedidi,Mohand Djeziri +1 more
TL;DR: An overview of the most used models in the literature is presented and a comparative analysis of these models according to a set of criteria, such as the modeling assumptions, the necessary instrumentation necessary, the accuracy, and the complexity of implementation is offered.
Dissertation
Modélisation Incrémentale des Processeurs Embarqués pour l'Estimation des Caractéristiques et le Diagnostic
TL;DR: Le developpement d’outils de surveillance and de diagnostic des systemes electroniques embarques, en particuliers les SoC, est devenu l’un des verrous scientifiques a lever pour assurer une large utilisation of ces systemes dans les equipements a risque en toute securite.
Proceedings ArticleDOI
A smart-USB-cable buck converter with indirect control
TL;DR: In this article, the authors proposed a new DC/DC Buck converter architecture where parasitic inductance available in a USB cable is utilized for energy storage element in an example mobile battery charger application.
Proceedings ArticleDOI
Constructing an Accurate and a High-Performance Power Profiler for Embedded Systems and Smartphones
TL;DR: A new accurate power profiler for embedded systems and smartphones is presented and a tutorial explaining the main steps to build power profilers for embedded and mobile systems, in general is explained.
References
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