Energy Consumption and Conservation in WiFi Based Phones: A Measurement-Based Study

Gupta, Anurag; Mohapatra, Pradyumna Kumar

doi:10.1109/sahcn.2007.4292824

Cited by 62 publications

(30 citation statements)

References 15 publications

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“…In [9], the authors measure the power draw of WiFi-based phones to increase slightly under poor signal strength, when dynamic power control is enabled. In [6], the authors perform an in-depth study of power dissipation of smartphone components and find GSM dissipates 30% more energy when transferring at poor signal strength.…”

Section: Related Workmentioning

confidence: 99%

Characterizing and modeling the impact of wireless signal strength on smartphone battery drain

Ding

Wagner

Xiao-meng

et al. 2013

Proceedings of the ACM SIGMETRICS/international Conference on Measurement and Modeling of Computer Systems

122

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Despite the tremendous market penetration of smartphones, their utility has been and will remain severely limited by their battery life. A major source of smartphone battery drain is accessing the Internet over cellular or WiFi connection when running various apps and services. Despite much anecdotal evidence of smartphone users experiencing quicker battery drain in poor signal strength, there has been limited understanding of how often smartphone users experience poor signal strength and the quantitative impact of poor signal strength on the phone battery drain. The answers to such questions are essential for diagnosing and improving cellular network services and smartphone battery life and help to build more accurate online power models for smartphones, which are building blocks for energy profiling and optimization of smartphone apps.In this paper, we conduct the first measurement and modeling study of the impact of wireless signal strength on smartphone energy consumption. Our study makes four contributions. First, through analyzing traces collected on 3785 smartphones for at least one month, we show that poor signal strength of both 3G and WiFi is routinely experienced by smartphone users, both spatially and temporally. Second, we quantify the extra energy consumption on data transfer induced by poor wireless signal strength. Third, we develop a new power model for WiFi and 3G that incorporates the signal strength factor and significantly improves the modeling accuracy over the previous state of the art. Finally, we perform what-if analysis to quantify the potential energy savings from opportunistically delaying network traffic by exploring the dynamics of signal strength experienced by users.

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Section: Related Workmentioning

confidence: 99%

Characterizing and modeling the impact of wireless signal strength on smartphone battery drain

Ding

Wagner

Xiao-meng

et al. 2013

Proceedings of the ACM SIGMETRICS/international Conference on Measurement and Modeling of Computer Systems

122

View full text Add to dashboard Cite

show abstract

“…Although during transferring of data over the network security and privacy are basic issues of the wireless network. On the other hand, energy consumed by the smartphones based on Wi-Fi [66] and 3G [67] is another burning issue. To find the energy consumption by the wireless network by estimating the energy at each step is expressed in [68].…”

Section: Wireless Energy Optimizationmentioning

confidence: 99%

Energy Consumption in Mobile Phones

Javed¹,

Shahid²,

Sharif³

et al. 2017

IJCNIS

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Abstract-As the mobile devices are widely used in this world. With the increasing number of users, the numbers of customized applications are also introduced for these users according to their own requirements but on the other hand, there is a dire need of a system which must be energy conserved, estimated and maintained. A survey of energy consumption in mobile phones is presented in this paper with the factors at which the consumption of the energy depends on i.e. Energy consumed by OS, by hardware, by applications, by the user to interact with the applications, by wireless, by the sensor network. The energy management models and frameworks are also discussed in this paper.

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“…Power consumption is the vital issue in the selection of a mobile phone [9]. Since all these devices make use of rechargeable batteries, the attractive services and features unfortunately drain lot of energy stored in a capacity limited battery of a smart phone.…”

Section: B Motivationmentioning

confidence: 99%

Energy Dissipation Model for 4G and WLAN Networks in Smart Phones

Prasad¹,

Balaji²

2016

ijacsa

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Abstract-With the modernization of the telecommunication standards, there has been considerable evolution of various technologies to assist cost effective communication. In this regard, the fourth generation communication services or commonly known as 4G mobile networks have penetrated almost every part of the world to offer faster and seamless data connectivity. However, such services come at the cost of energy drained from the smart phone supporting 4G services. This paper presents an algorithm that is capable of evaluating the actual amount of energy being dissipated while using next generation mobile networks. The study also performs a comparative analysis of energy dissipation of 4G networks with other wireless local area networks to understand the networks that cause more energy dissipation.

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Energy Consumption and Conservation in WiFi Based Phones: A Measurement-Based Study

Cited by 62 publications

References 15 publications

Characterizing and modeling the impact of wireless signal strength on smartphone battery drain

Characterizing and modeling the impact of wireless signal strength on smartphone battery drain

Energy Consumption in Mobile Phones

Energy Dissipation Model for 4G and WLAN Networks in Smart Phones

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