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Simulating the Energy Management on Smartphones Using Hybrid Modeling Techniques

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Part of the Lecture Notes in Computer Science book series (LNPSE,volume 8376)

Abstract

With the global growth of the market for smartphones new business ideas and applications are developed continuously. These often utilize the resources of a mobile device to a considerable extent and reach the limits of these. In this work we focus on the simulation of an on-demand music service on a modern smartphone. Our simulation model includes higher level descriptions of the necessary hardware components’ behavior and their energy consumption. Thereby, the detailed simulation of battery plays a key role in the project. With this simulation study we find optimal parameters for the users of the examined application to maximize playback time, improve its battery life and reduce costly data transmissions.

Keywords

  • smartphone
  • energy management
  • streaming music on-demand
  • battery lifetime
  • kinetic battery model
  • simulation study

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  • DOI: 10.1007/978-3-319-05359-2_15
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References

  1. Manwell, J.F., McGowan, J.G.: Lead Acid Battery Storage Model for Hybrid Energy Systems. Solar Energy 50(5), 399–405 (1993)

    CrossRef  Google Scholar 

  2. Jongerden, M.R.: Model-based Energy Analysis of Battery Powered Systems. PhD thesis, Enschede (December 2010)

    Google Scholar 

  3. Chen, M., Rincón-mora, G.A.: Accurate Electrical Battery Model Capable of Predicting Runtime and I-V Performance. IEEE Transactions on Energy Conversion, 504–511 (2006)

    Google Scholar 

  4. Kim, T., Qiao, W.: A Hybrid Battery Model Capable of Capturing Dynamic Circuit Characteristics and Nonlinear Capacity Effects. IEEE Transactions on Energy Conversion 26(4) (2011)

    Google Scholar 

  5. Manwell, J., et al.: Improvements to the Hybrid2 Battery Model. In: American Wind Energy Association. Windpower 2005 Conference

    Google Scholar 

  6. Zhang, L.: et al: Accurate Online Power Estimation and Automatic Battery Behavior Based Power Model Generation for Smartphones. In: Proc. 8th IEEE/ACM/IFIP Int’l Conf. on Hardware/Software Codesign and System Synthesis. ACM (2010)

    Google Scholar 

  7. PowerTutor: Version 1.5, UMich, Northern University, Google Inc. (2013), http://www.powertutor.org

  8. Prandoni, P., Vetterli, M.: Signal Processing for Communications. CRC Press (2008)

    Google Scholar 

  9. Kammeyer, K.D.: Nachrichtenübertragung, 15th edn. Vieweg+Teubner, Reihe Informations-/Kommunikationstechnik, Wiesbaden, Germany (August 2011)

    Google Scholar 

  10. Law, A.M.: Simulation Modeling and Analysis, 4th edn. Mcgraw-Hill Professional (August 2006)

    Google Scholar 

  11. AnyLogic: Version 6 (2013), The AnyLogic Company, http://www.anylogic.com

  12. Balasubramanian, N., Balasubramanian, A., Venkataramani, A.: Energy Consumption in Mobile Phones: A Measurement Study and Implications for Network Applications. In: Proc. 9th ACM SIGCOMM on Internet Measurement Conference, IMC 2009, pp. 280–293. ACM, New York (2009)

    Google Scholar 

  13. ExpertFit: Version 6.0.2 Flexsim Software Products, Inc. (2012), http://www.averill-law.com/distribution-fitting

  14. Pauler, W., Heinfling, B.: Das beste Netz aller Zeiten! Website Available online at http://www.chip.de/netztest (visited on September 3, 2013)

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© 2014 Springer International Publishing Switzerland

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Alagöz, I., Löffler, C., Schneider, V., German, R. (2014). Simulating the Energy Management on Smartphones Using Hybrid Modeling Techniques. In: Fischbach, K., Krieger, U.R. (eds) Measurement, Modelling, and Evaluation of Computing Systems and Dependability and Fault Tolerance. MMB&DFT 2014. Lecture Notes in Computer Science, vol 8376. Springer, Cham. https://doi.org/10.1007/978-3-319-05359-2_15

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  • DOI: https://doi.org/10.1007/978-3-319-05359-2_15

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-05358-5

  • Online ISBN: 978-3-319-05359-2

  • eBook Packages: Computer ScienceComputer Science (R0)