ArticlePDF Available

Analysis on the Power Efficiency of Smartphone According to Parameters

Authors:

Abstract

Smartphone enables diverse applications to be used in mobile environments. In spite of the high performance of smartphones, battery life has become one of the major constraints in mobility. Therefore, power efficiency of the smartphone is one of the most important factors in determining the efficiency of the smartphone. In this paper, in order to analyze the power efficiency of the smartphone, we have various experiments according to several configuration parameters such as processor, display and OS. We also use diverse applications. As a result, power consumption is dependent on the processor complexity and display size. However, power consumption shows the unpredictable pattern according to the OS. Smartphone using android OS consumes high power when internet and image processing applications are executed, but It consumes low power when music and camera applications are executed. In contrary, smartphone based on iOS consumes high power when game and internet applications are executed but it consumes low power when camera and processing applications are executed. In general, smartphone using iOS is more power efficient than smartphone based on android OS, because smartphone using iOS is optimized in the perspective of the hardware and OS.
Journal of The Korea Society of Computer and Information
Vol. 18, No. 5, May 2013
www.ksci.re.kr
http://dx.doi.org/ 10.9708/jksci.2013.18.5.001
∙ ∙
ResearchGate has not been able to resolve any citations for this publication.
Conference Paper
Full-text available
The full degree of freedom in mobile systems heavily depends on the energy provided by the mobile phone's batteries. Their capacity is in general limited and for sure not keeping pace as the mobile devices are crammed up with new functionalities. The discrepancy of Moore's law, offering twice the processing power at least each second year, and the development in batteries, which did not even double over the last decade, makes a shift in researchers' way of designing networks, protocols, and the mobile device itself. The bottleneck to take care of in the design process of mobile systems is not only the wireless data rate, but even more the energy limitation as the customers ask for new energy-hungry services, e.g., requiring faster connections or even multiple air interfaces, and longer standby or operational times of their mobile devices at the same time. In this survey, the energy consuming entities of a mobile device such as wireless air interfaces, display, mp3 player and others are measured and compared. The presented measurement results allow the reader to understand what the energy hungry parts of a mobile device are and use those findings for the design of future mobile protocols and applications. All results presented in this work and further results are made public on our web page [2].
Conference Paper
Full-text available
Mobile consumer-electronics devices, especially phones, are powered from batteries which are limited in size and therefore capacity. This implies that managing energy well is paramount in such devices. Good energy management requires a good understanding of where and how the energy is used. To this end we present a detailed analysis of the power consumption of a recent mobile phone, the Openmoko Neo Freerunner. We measure not only overall system power, but the exact breakdown of power consumption by the device's main hardware components. We present this power breakdown for micro-benchmarks as well as for a number of realistic usage scenarios. These results are validated by overall power measurements of two other devices: the HTC Dream and Google Nexus One. We develop a power model of the Freerunner device and analyse the energy usage and battery lifetime under a number of usage patterns. We discuss the significance of the power drawn by various components, and identify the most promising areas to focus on for further improvements of power management. We also analyse the energy impact of dynamic voltage and frequency scaling of the device's application processor.
Article
This paper presents an automated power model generation method for smart phone. Accurate power model can be achieved from usage pattern stored on the phone. This method can be applied to any mobile devices regardless of the manufacturer and model. The generated power model can be used to estimate energy consumption of the mobile device.
Article
With higher data rates becoming reality, there are quite a few Internet sharing applications that are increasingly becoming popular on present day smart phones. These applications are very useful and are widely popular by names such as Mobile Hotspot, Tethering, and MiFi etc. Using these applications, multiple users (such as friends, family members and colleagues in a limited area) can share Internet from a single high speed wireless network link. Typically in this method, a mobile device (smart phone or dongle) connects to backbone network using communication networks such as 4G/HSPA+ etc. which provides high speed data link and mobile phone in turn acts as a local Internet access point for other devices using communication technologies like Wi-Fi/Bluetooth. Wi-Fi access points were originally designed to be operated as standalone devices connected with a power supply and hence no specific care was taken to save power of base stations. Though subsequent enhancements were made in specifications to incorporate power saving mode in Wi-Fi Technology to optimize power consumption of the clients, Mobile Hotspot applications does not come under the purview of such enhancements. Due to this, present day Mobile phones which run on battery and host these applications for acting as Wi-Fi Hotspot, demonstrate very poor battery life. We have performed few experiments with commercially available products, which show that technologies like LTE (Long Term Evolution) which act as the backbone for these mobile hotspot applications consume very high power. Together LTE & Wi-Fi are draining Mobile Station current at alarming rate. Effort of this work is to strike a balance between maximum achievable QOS (Quality of Service) for end users and increased battery life of mobile phone which is acting as WiFi access point. This can be achieved by efficiently coordinating power saving techniques provided by LTE/3G wireless communication specifications and those provided by Wi-Fi specifications.
Conference Paper
The industry is producing new wireless mobile devices, such as smart phones, at an ever increasing pace. In terms of processors and memory, these devices are as powerful as the PCs were one decade ago. Therefore, they are perfectly suitable to become the first real-life platforms for ubiquitous computing. For instance, they can be programmed to run location-aware applications that provide people with real-time information relevant to their current places. Deploying such applications in our daily life, however, requires a good understanding of their power requirements in order to ensure that mobile devices can indeed support them. This paper presents a quantitative analysis of power consumption for location-aware applications in our SmartCampus project, which builds a large scale test-bed for mobile social computing. Based on this analysis, we conclude that carefully designed applications can run for up to six hours, while updating the user location frequently enough to support real-time location-aware communication.
Android OpenSource, https://android.googlesource.com/ [11] iOS OpenSource
  • Android
Android, http://www.android.com/ [9] iOS, http://www.apple.com/ios/ [10] Android OpenSource, https://android.googlesource.com/ [11] iOS OpenSource, http://opensource.apple.com/ [12] Android Market, https://play.google.com/store [13] App Store, http://www.apple.com/iphone/from-the-app-store/
Smart Phone Power Model Generation using Use Pattern Analysis
  • J M Lee
  • H W Joe
  • H S Kim
J. M. Lee, H. W. Joe, and H. S. Kim, "Smart Phone Power Model Generation using Use Pattern Analysis," In Proceedings of IEEE International Conference on Consumer Electronics (ICCE), pp. 412-413, Jan. 2012.
Energy efficient scheduling in 4G smart phones for Mobile Hotspot Application
  • K Keshav
  • V R Indukuri
  • P Venkataram
K. Keshav, V. R. Indukuri, and P. Venkataram, "Energy efficient scheduling in 4G smart phones for Mobile Hotspot Application," In Proceedings of National Conference on Communications (NCC), pp. 1-5, Feb. 2012.