A dynamic algorithm to improve power efficiency in smartphones

Ravichandran, Rahul; Muralidharan, Vignesh

doi:10.1109/iccci.2016.7480004

Cited by 2 publications

(4 citation statements)

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“…But, on the other side, these technologies and services are associated with many challenges including but not limited to: information security, networking performance, and energy consumption, which is considered as big issue in the mobile and cloud computing devices and environments. 30 The traditional architecture of MCC model connects the mobile users with the EC using the 3G/4G/LTE technology. The other alternative is to connect the mobile users through Wi-Fi technology.…”

Section: Model Based On Cooperative Cloudletsmentioning

confidence: 99%

“…The authors proposed a new approach for energy saving to optimize the input/output energy drain from the smartphones applications. Moreover, the researchers in Reference 30 developed a hybrid algorithm to reduce the power consumed by smartphones. They claim that this algorithm can reduce the overall consumed power by around one‐third.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Due to the evolvement of different IT technologies combined with the wide spread of the internet, there are many applications developed to provide wide range of useful services to people all over the world. But, on the other side, these technologies and services are associated with many challenges including but not limited to: information security, networking performance, and energy consumption, which is considered as big issue in the mobile and cloud computing devices and environments 30 …”

Section: Model Based On Cooperative Cloudletsmentioning

confidence: 99%

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Improving the impact of power efficiency in mobile cloud applications using cloudlet model

Tawalbeh

Aldwairi

2020

Concurrency and Computation

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The applications and services of Information and Communication Technologies are becoming a very essential part of our daily life. In addition, the spread of advanced technologies including the cloud and mobile cloud computing (MCC), wireless communication, and smart devices made it easy to access the internet and utilize unlim-K E Y W O R D S cloud computing applications, cloudlets model, mobile cloud computing, performance improvement, power consumption, simulation 1 INTRODUCTION The spread of advanced technologies including the cloud and mobile cloud computing (MCC), wired and wireless communications, cellular networks, and smart mobile devices made it easy to access the internet and benefit from unlimited number of useful services and applications. For example, we use mobile applications to perform variety of tasks: at work, in hospitals, for educational purposes, commercial transactions, social networking,

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Section: Model Based On Cooperative Cloudletsmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Model Based On Cooperative Cloudletsmentioning

confidence: 99%

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Improving the impact of power efficiency in mobile cloud applications using cloudlet model

Tawalbeh

Aldwairi

2020

Concurrency and Computation

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“…Although, the paper discussed about various augmentation techniques but it gave a fair insight about the restricted resources and capabilities of mobile devices. The most recent study of Ravichandran and Muralidharan [12] present a unique technique to control power efficiency by using dynamic frequency scaling approach. The technique was implemented on an Android device using ARM architecture.…”

Section: Introductionmentioning

confidence: 99%

Novel Optimization to Reduce Power Drainage in Mobile Devices for Multicarrier-based Communication

Prasad¹,

Balaji²

2017

IJECE

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With increasing adoption of multicarrier-based communications e.g. 3G and 4G, the users are significantly benefited with impressive data rate but at the cost of battery life of their mobile devices. We reviewed the existing techniques to find an open research gap in this regard. This paper presents a novel framework where an optimization is carried out with the objective function to maintain higher level of equilibrium between maximized data delivery and minimized transmit power. An analytical model considering multiple radio antennae in the mobile device is presented with constraint formulations of data quality and threshold power factor. The model outcome is evaluated with respect to amount of power being conserved as performance factor. The study was found to offer maximum energy conservation and the framework also suits well with existing communication system of mobile networks. Keywords: 3G Battery lifetime Mobile device Multicarrier transmission Power Copyright © 2017 Institute of Advanced Engineering and Science.All rights reserved. Corresponding Author:Shalini PrasadResearch Scholar, Jain Univeristy, Department of Electronics and Communication Engineering, City Engineering College, Bengaluru, IndiaEmail:-shaliniphdjain@gmail.com INTRODUCTIONWith the advancement of telecommunication standards, the users are now flooded with numerous services of wireless communication systems [1]. This has led to various forms of mobile applications that offer a good pervasive computing integrated with mobile networks [2]. A legacy 2G service uses a simple mechanism of transmitting the signal, which doesn't demand more power to be used by the mobile device. With evolution of 3G and 4G networks, there is a significant growth of multicarrier communication standards that potentially increases the data rates in mobile communication [3]. Usage of multicarrier-based communication standards offers higher data transmission that positively attracts users to use certain mobile applications that are highly inclined on performing parallel processing. Unfortunately, such forms of events go untracked by the users for which sufficient counter measures are difficult to be taken. Deployment of such forms of the network majorly uses OFDM (Orthogonal Frequency Division Multiplexing), which already suffers from PAPR (Peak-Average-to Power Ratio) [4] [5]. Therefore, usage of 3G or 4G network offers maximized rate of data transmission but at the cost of battery life of the mobile device. The existing mobile applications for power conservation are discretely programmed to identify certain specific threads that finally suppressed it [6]. Such a program doesn't help much in minimizing the battery consumption of a mobile device as it cannot identify the dynamic threads running over it. Hence, it is quite a challenging task to ensure the power conservation in the mobile devices. From the research viewpoint, it can be seen that there are very few computational models to identify the sources of power dissipation and to minimize it. Studies like [7] [8]

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A dynamic algorithm to improve power efficiency in smartphones

Cited by 2 publications

References 9 publications

Improving the impact of power efficiency in mobile cloud applications using cloudlet model

Improving the impact of power efficiency in mobile cloud applications using cloudlet model

Novel Optimization to Reduce Power Drainage in Mobile Devices for Multicarrier-based Communication

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