Journal ArticleDOI
Where Has My Battery Gone?: A Novel Crowdsourced Solution for Characterizing Energy Consumption
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TLDR
The authors' recent work on developing a novel crowdsourced solution for characterizing energy consumption of system settings, subsystem variables, and other context factors can simultaneously capture relationships between multiple factors, and provide a unified view of the energy state of a mobile device.Abstract:
The increased complexity of smartphone applications, and the increasing number of system settings affecting these applications, has made it difficult to understand and optimize battery use. This article summarizes the authors' recent work on developing a novel crowdsourced solution for characterizing energy consumption of system settings, subsystem variables, and other context factors. Their technique can simultaneously capture relationships between multiple factors, such as software subsystems and system settings, and provide a unified view of the energy state of a mobile device. They demonstrate the benefits of their approach by analyzing a large-scale crowdsourced dataset. Results of their analysis reveal new insights into battery consumption.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
A survey on energy estimation and power modeling schemes for smartphone applications
Raja Ahmad,Abdullah Gani,Siti Hafizah Ab Hamid,Mohammad Shojafar,Abdelmuttlib Ibrahim Abdalla Ahmed,Sajjad A. Madani,Kashif Saleem,Joel J. P. C. Rodrigues,Joel J. P. C. Rodrigues,Joel J. P. C. Rodrigues +9 more
TL;DR: To optimize smartphone application energy estimation, several research issues are highlighted to help researchers of this domain to understand the problem clearly and compare existing energy estimation and modeling schemes based on a set of parameters common in most literature to highlight the commonalities and differences among reported literature.
Proceedings ArticleDOI
Assessing Pairing and Data Exchange Mechanism Security in the Wearable Internet of Things
Kerolos Lotfy,Matthew L. Hale +1 more
TL;DR: The results show presumably secure pairing strategies have glaring security vulnerabilities that affect all of the devices examined, and efforts are underway to report these vulnerabilities to US-CERT.
Journal ArticleDOI
Missing data and other measurement quality issues in mobile geolocation sensor data
Sebastian Bähr,Georg-Christoph Haas,Georg-Christoph Haas,Florian Keusch,Frauke Kreuter,Frauke Kreuter,Frauke Kreuter,Mark Trappmann,Mark Trappmann +8 more
TL;DR: As smartphones become increasingly prevalent, social scientists are recognizing the ubiquitous data generated by the sensors built into these devices as an innovative data source.
Journal ArticleDOI
Improving Resource Consumption in Context- Aware Mobile Applications Through Alternative Architectural Styles
TL;DR: This paper evaluates and discusses several architectural styles for context-aware mobile applications, as well as providing a set of guidelines to decide on the right architecture for a particular app depending on its characteristics, so that user satisfaction of a context- aware mobile application may be improved, thus guaranteeing the app success.
References
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Proceedings ArticleDOI
Accurate online power estimation and automatic battery behavior based power model generation for smartphones
TL;DR: PowerBooter is an automated power model construction technique that uses built-in battery voltage sensors and knowledge of battery discharge behavior to monitor power consumption while explicitly controlling the power management and activity states of individual components.
Proceedings ArticleDOI
Diversity in smartphone usage
Hossein Falaki,Ratul Mahajan,Srikanth Kandula,Dimitrios Lymberopoulos,Ramesh Govindan,Deborah Estrin +5 more
TL;DR: A comprehensive study of smartphone use finds that qualitative similarities exist among users that facilitate the task of learning user behavior and demonstrates the value of adapting to user behavior in the context of a mechanism to predict future energy drain.
Journal ArticleDOI
Energy Management Techniques in Modern Mobile Handsets
TL;DR: This survey will cover the software solutions that can be found in the research literature between 1999 and May 2011 at six different levels: energy-aware operating systems, efficient resource management, the impact of users' interaction patterns with mobile devices and applications, wireless interfaces and sensors management, and finally the benefits of integrating mobile devices with cloud computing services.
Proceedings ArticleDOI
Context-aware Battery Management for Mobile Phones
TL;DR: A system for context- aware battery management that warns the user when it detects that the phone battery can run out before the next charging opportunity is encountered and algorithms that predict how long the battery will last if the current set of applications continue to execute are proposed.
Proceedings ArticleDOI
Carat: collaborative energy diagnosis for mobile devices
TL;DR: During a deployment to a community of more than 500,000 devices, Carat diagnosed thousands of energy anomalies in the wild and increased a user's battery life by 11% after 10 days (compared with 1.9% for the control group).
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