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EnergyBox: A Trace-Driven Tool for Data Transmission Energy Consumption Studies

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Energy Efficiency in Large Scale Distributed Systems (EE-LSDS 2013)

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 8046))

Abstract

Although evolving mobile technologies bring millions of users closer to the vision of information anywhere-anytime, device battery depletions hamper the quality of experience to a great extent. We argue that the design of energy-efficient solutions starts by energy-awareness and propose EnergyBox, a tool that provides accurate and repeatable energy consumption studies for 3G and WiFi transmissions at the user end. We recognize that the energy consumption of data transmission is highly dependable on the traffic pattern, and provide the means for trace-based iterative packet-driven simulation to derive the operation states of wireless interfaces. The strength of EnergyBox is that it allows to modularly set the 3G network parameters specified at operator level, the adaptive power save mode mechanism for a WiFi device, and the different power levels of the operation states for different handheld devices. EnergyBox enables efficient energy consumption studies using real data, which complements the device-dependent laborious physical power measurements. Using real application transmission traces, we have validated EnergyBox showing an accuracy range of 94–99% for 3G and 93–99% for WiFi compared to the real measured energy consumption by a 3G modem and a smartphone with WiFi.

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Notes

  1. 1.

    Android phones provide traffic statistics that can be captured every millisecond and packet level capture is available without root permission from Android 4.0 on.

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Acknowledgments

This work was supported by the Swedish national graduate school in computer science (CUGS). The authors wish to thank the support of Ericsson AB, and in particular B-O Hertz, Pär Emanuelsson and Claes Alströmer for providing the 3G developer kit and facilitating the measurement gathering phase.

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Authors and Affiliations

  1. Department of Computer and Information Science, Linköping University, Linköping, Sweden

    Ekhiotz Jon Vergara & Simin Nadjm-Tehrani

Authors
  1. Ekhiotz Jon Vergara
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  2. Simin Nadjm-Tehrani
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Corresponding author

Correspondence to Ekhiotz Jon Vergara .

Editor information

Editors and Affiliations

  1. Toulouse University, Toulouse, France

    Jean-Marc Pierson

  2. Toulouse University, Toulouse, France

    Georges Da Costa

  3. Technical University of Denmark, Lyngby, Denmark

    Lars Dittmann

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Vergara, E.J., Nadjm-Tehrani, S. (2013). EnergyBox: A Trace-Driven Tool for Data Transmission Energy Consumption Studies. In: Pierson, JM., Da Costa, G., Dittmann, L. (eds) Energy Efficiency in Large Scale Distributed Systems. EE-LSDS 2013. Lecture Notes in Computer Science(), vol 8046. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40517-4_2

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  • DOI: https://doi.org/10.1007/978-3-642-40517-4_2

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-40516-7

  • Online ISBN: 978-3-642-40517-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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