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Energy-Aware Mobile Learning:Opportunities and Challenges

Arghir-Nicolae Moldovan, Stephan Weibelzahl, Cristina Hava Muntean
2014 IEEE Communications Surveys and Tutorials  
Adaptation and personalisation solutions have widely been considered for overcoming the differences between learners and between the characteristics of their mobile devices.  ...  Among the many challenges with mobile learning, the battery-powered nature of mobile devices and in particular their limited battery life, stands out as one issue that can significantly limit learners'  ...  Adaptation and personalisation solutions have widely been considered for overcoming the differences between learners and between the characteristics of their mobile devices.  ... 
doi:10.1109/surv.2013.071913.00194 fatcat:lb46ka43yjefjdeusvuyphjj7q

Power estimation for mobile applications with profile-driven battery traces

Chengke Wang, Fengrun Yan, Yao Guo, Xiangqun Chen
2013 International Symposium on Low Power Electronics and Design (ISLPED)  
This paper proposes a novel method for estimating the power consumption of mobile applications with profile-based battery traces.  ...  It becomes very important to understand power characteristics of mobile applications because more and more complex applications are running on modern smartphones.  ...  Battery Level Change Events On mobile operating systems such as Android, battery level is normally used to represent the remaining percentage of battery capacity accurate to 1%.  ... 
doi:10.1109/islped.2013.6629277 dblp:conf/islped/WangYGC13 fatcat:yfhatmfs25hhzensv5um5fhrq4

On Power and Energy Consumption Modeling for Smart Mobile Devices

Matteo Ferroni, Andrea Cazzola, Francesco Trovo, Donatella Sciuto, Marco Domenico Santambrogio
2014 2014 12th IEEE International Conference on Embedded and Ubiquitous Computing  
They differ in the way they consider hardware components, in the operating system they are suitable for and in the scope of their tests and experiments.  ...  In order to puzzle out all these issues, we regard the definition of a power/energy model for mobile devices as a first mandatory step.  ...  SYSTEM-LEVEL POWER MODELING A large number of works aims at creating system-wide power models of the entire mobile device.  ... 
doi:10.1109/euc.2014.47 dblp:conf/euc/FerroniCTSS14 fatcat:egatqgaxbnhpffdzewkxri6kkm

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
2019 IEEE Access  
The main contribution of this paper is four comprehensive literature reviews on: 1) smartphone's power consumption assessment and estimation (including power consumption analysis and modelling); 2) power  ...  Therefore, considering its scarcity, optimal use and efficient management of energy are crucial in a smartphone.  ...  POWER CONSUMPTION PROFILING AND MODELLING Energy profiling schemes help in estimating the power consumption of a mobile device.  ... 
doi:10.1109/access.2019.2958684 fatcat:52m6kmfxcngpdmhkyzmcsw4qk4

Design of an Embedded Energy Management System for Li–Po Batteries Based on a DCC-EKF Approach for Use in Mobile Robots

Arezki Abderrahim Chellal, José Gonçalves, José Lima, Vítor Pinto, Hicham Megnafi
2021 Machines  
for State of Charge (SOC) estimation is implemented; the developed prototype meets most of the constraints for BMSs reported in the literature, with an energy efficiency of 94% and an error of SOC accuracy  ...  In mobile robotics, since no requirements have been defined regarding accuracy for Battery Management Systems (BMS), standard approaches such as Open Circuit Voltage (OCV) and Coulomb Counting (CC) are  ...  In mobile systems, whether they are large systems such as hybrid vehicles or small systems such as mobile robots and smartphones, the battery is the only source of energy on which they can rely.  ... 
doi:10.3390/machines9120313 fatcat:vprqncge2nejzp7ef4kygjmmru

Impact of Powertrain Components Size and Degradation Level on the Energy Management of a Hybrid Industrial Self-Guided Vehicle

Amin Ghobadpour, Ali Amamou, Sousso Kelouwani, Nadjet Zioui, Lotfi Zeghmi
2020 Energies  
This paper deals with the design of an energy management strategy (EMS) for an industrial hybrid self-guided vehicle (SGV), considering the size of a fuel cell (FC) stack and degradation of a battery pack  ...  In this context, first, a realistic energy model of the SGV was proposed and validated, based on experiments.  ...  Acknowledgments: The authors would like to thank the Noovelia Research Chair on the Development of Intelligent Navigation Systems for Industrial Guided Vehicles, the Natural Sciences and Engineering Research  ... 
doi:10.3390/en13195041 fatcat:p45kyf2gpjefnpkzjj2pgbvcoy

Enhanced Mobile Computing Experience with Cloud Offloading [article]

Hao Qian
2017 arXiv   pre-print
The need for increased performance of mobile device directly conflicts with the desire for longer battery life.  ...  Evaluation shows that Jade can effectively reduce up to 39% of average power consumption for mobile application while improving application performance.  ...  The Jade profiler uses the online approach to measure energy consumption for devices and applications.  ... 
arXiv:1710.04352v1 fatcat:izyiaqtvdva2zmfhjuro3vzo5m

Charging Station of Electric Vehicle Based on IoT: A Review

Mahmood H. Qahtan, Emad A. Mohammed, Ahmed J. Ali
2022 OALib  
At present, humans face the problem of lack of fuel and environmental pollution to reduce pollution as well as fuel consumption.  ...  may be renewable and non-renewable energy.  ...  The SoC is the percentage of a battery's remaining charge capacity in its maximum possible battery capacity.  ... 
doi:10.4236/oalib.1108791 fatcat:jewhqtfh55evta5cseu45pp4ge

Framework for Real-Time Monitoring of Battery Performance in Electric Vehicles and Locating Charging Facilities Nearby

Pranay Jain, Dept. of Telecommunication Engineering, BMS College of Engineering, Bangalore, India., Sanjana Kumari, Shreenivas B, Dept. of Telecommunication Engineering, BMS College of Engineering, Bangalore, India., Dept. of Telecommunication Engineering, BMS College of Engineering, Bangalore, India.
2021 International Journal of Engineering and Advanced Technology  
In comparison to where we are now, this translates into a significant increase in the carrying capacity of the power grid.  ...  The suggested research demonstrates all of the mathematical calculations of battery characteristics (including but not limited to battery efficiency and percentage durability), which aids in evaluating  ...  ACKNOWLEDGMENT The authors acknowledge the support and encouragement of the management of BMS College Engineering, Bengaluru.  ... 
doi:10.35940/ijeat.f2980.0810621 fatcat:qnt7ey4ozjeyvmogwrwnuubyre

Online Prediction of Battery Lifetime for Embedded and Mobile Devices [chapter]

Ye Wen, Rich Wolski, Chandra Krintz
2005 Lecture Notes in Computer Science  
We investigate the performance of the implementation of our approach on a widely used mobile device (HP iPAQ) running Linux, and compare it to two similar battery prediction technologies: ACPI and Smart  ...  Our results show that this approach is efficient, accurate, and able to adapt to different systems and batteries easily.  ...  In particular, ACPI, to which we compare our results, uses the division of remaining battery capacity and present rate of battery drain to estimate remaining battery life [2] .  ... 
doi:10.1007/978-3-540-28641-7_5 fatcat:53kudzpktnb3dp4lfcvdhlnxmq

A Sector Based Energy Efficient Adaptive Routing Protocol for Large Scale MANET

R. Dhanapal, P. Visalakshi
2015 Research Journal of Applied Sciences Engineering and Technology  
The simulation results shows that the proposed SEA protocol yields better performance then the existing protocols namely EDRP, EDNR, DOA and AODV in terms of packet delivery ratio and energy consumption  ...  A MANET involves mobile platforms which are free to move arbitrarily and there may be frequent link breakage due to battery.  ...  We adopt the widely used energy consumption model, which estimates the energy consumption for each basic operation (e.g., transmitting, receiving and overhearing in promiscuous mode) based on empirical  ... 
doi:10.19026/rjaset.9.1429 fatcat:psezvirtaferflxlztip467kuu

Energy Management Techniques in Modern Mobile Handsets

Narseo Vallina-Rodriguez, Jon Crowcroft
2013 IEEE Communications Surveys and Tutorials  
The diverse range of wireless interfaces and sensors, and the increasing popularity of power-hungry applications that take advantage of these resources can reduce the battery life of mobile handhelds to  ...  The research community, and operating system and hardware vendors found interesting optimisations and techniques to extend the battery life of mobile phones.  ...  In theory, this model will not require using an external multimeter to measure the power consumption and it enables online estimation of the power consumption looking at the power state and the resources  ... 
doi:10.1109/surv.2012.021312.00045 fatcat:r4projaqkzfvlagq2cfrxgb7gm

Smart power management for mobile handsets

Nachi K. Nithi, Adriaan J. de Lind van Wijngaarden
2011 Bell Labs technical journal  
A power-aware task monitor in the mobile terminal keeps track of the battery state, the communication channel, and the processor(s).  ...  A power manager in the application server can help to minimize power consumption by adjusting the flow and the contents communicated to the mobile terminal. © 2011 Alcatel-Lucent. multiple sensors, and  ...  can assist in reducing energy consumption in the mobile terminal when power levels are very low. • Enable the operating system in a mobile terminal to control and manage energy consumption in order to  ... 
doi:10.1002/bltj.20478 fatcat:hlkgzvmejrdxblmuddvjvs7xs4

Context-Awareness for Mobile Sensing: A Survey and Future Directions

Ozgur Yurur, Chi Harold Liu, Zhengguo Sheng, Victor C. M. Leung, Wilfrido Moreno, Kin K. Leung
2016 IEEE Communications Surveys and Tutorials  
However, many open challenges remain, which are mostly arisen due to the middleware services provided in mobile devices have limited resources in terms of power, memory and bandwidth.  ...  The existence and awareness of the context provides the capability of being conscious of physical environments or situations around mobile device users.  ...  Accurately estimating the remaining battery capacity [180] and reporting of the battery state-of-charge becomes a difficult task due to the nonlinear battery behavior, and also the time-varying nature  ... 
doi:10.1109/comst.2014.2381246 fatcat:tzbqt6k23va3tltwxwg5jgvel4

Accurate online power estimation and automatic battery behavior based power model generation for smartphones

Lide Zhang, Birjodh Tiwana, Zhiyun Qian, Zhaoguang Wang, Robert P. Dick, Zhuoqing Morley Mao, Lei Yang
2010 Proceedings of the eighth IEEE/ACM/IFIP international conference on Hardware/software codesign and system synthesis - CODES/ISSS '10  
This paper describes PowerBooter, an automated power model construction technique that uses built-in battery voltage sensors and knowledge of battery discharge behavior to monitor power consumption while  ...  PowerTutor is intended to ease the design and selection of power efficient software for embedded systems.  ...  average power consumption in time interval [t1, t2], E is the rated battery energy capacity, and SOD(Vi) is the battery state-of-discharge at voltage Vi (i is 1 or 2).  ... 
doi:10.1145/1878961.1878982 dblp:conf/codes/ZhangTQWDMY10 fatcat:ebyeav6a5vhnho2pe54ndzwgya
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