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Modeling Battery Behavior on Sensory Operations for Context-Aware Smartphone Sensing

1
Department of Electrical Engineering, University of South Florida, Tampa, FL 33620, USA
2
School of Software, Beijing Institute of Technology, Beijing 100081, China
*
Author to whom correspondence should be addressed.
Academic Editor: Passaro Vittorio M.N.
Sensors 2015, 15(6), 12323-12341; https://doi.org/10.3390/s150612323
Received: 26 January 2015 / Revised: 22 April 2015 / Accepted: 18 May 2015 / Published: 26 May 2015
(This article belongs to the Section Physical Sensors)
Energy consumption is a major concern in context-aware smartphone sensing. This paper first studies mobile device-based battery modeling, which adopts the kinetic battery model (KiBaM), under the scope of battery non-linearities with respect to variant loads. Second, this paper models the energy consumption behavior of accelerometers analytically and then provides extensive simulation results and a smartphone application to examine the proposed sensor model. Third, a Markov reward process is integrated to create energy consumption profiles, linking with sensory operations and their effects on battery non-linearity. Energy consumption profiles consist of different pairs of duty cycles and sampling frequencies during sensory operations. Furthermore, the total energy cost by each profile is represented by an accumulated reward in this process. Finally, three different methods are proposed on the evolution of the reward process, to present the linkage between different usage patterns on the accelerometer sensor through a smartphone application and the battery behavior. By doing this, this paper aims at achieving a fine efficiency in power consumption caused by sensory operations, while maintaining the accuracy of smartphone applications based on sensor usages. More importantly, this study intends that modeling the battery non-linearities together with investigating the effects of different usage patterns in sensory operations in terms of the power consumption and the battery discharge may lead to discovering optimal energy reduction strategies to extend the battery lifetime and help a continual improvement in context-aware mobile services. View Full-Text
Keywords: smartphone battery modeling; power efficiency; sensory operation modeling smartphone battery modeling; power efficiency; sensory operation modeling
MDPI and ACS Style

Yurur, O.; Liu, C.H.; Moreno, W. Modeling Battery Behavior on Sensory Operations for Context-Aware Smartphone Sensing. Sensors 2015, 15, 12323-12341. https://doi.org/10.3390/s150612323

AMA Style

Yurur O, Liu CH, Moreno W. Modeling Battery Behavior on Sensory Operations for Context-Aware Smartphone Sensing. Sensors. 2015; 15(6):12323-12341. https://doi.org/10.3390/s150612323

Chicago/Turabian Style

Yurur, Ozgur; Liu, Chi H.; Moreno, Wilfrido. 2015. "Modeling Battery Behavior on Sensory Operations for Context-Aware Smartphone Sensing" Sensors 15, no. 6: 12323-12341. https://doi.org/10.3390/s150612323

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