Skip to main content
SpringerLink
Log in
Book cover

Artificial Intelligence Perspectives in Intelligent Systems pp 59–67Cite as

Energy Conservation Technique for Multiple Radio Incorporated Smart Phones

  • Conference paper
  • First Online:

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 464))

Abstract

Nowadays the advanced radio system in mobile devices is utilized as part of wireless communication towards an upgrade of channel capacity. Top end applications have allowed high-speed networking interfaces to connect the mobile network with many wireless routers, which helps in data transmission in mobile systems. These network interfaces require huge power for high-speed data transmission. In this, diversity and spatial gains are the two principle points of interest of mobile devices with higher delivery of throughput that are utilized to concentrate on improving bit-rate by increasing the quantity of transceiver antenna systems. This paper introduces an energy conservation mechanism for mobile devices. The key idea in antenna management is to remove adaptively percentage of the antennas and additionally their RF chains to reduce energy dissipation due to circuit power. This mechanism will reduce the power consumption and improve power efficiency by disabling the subset antennas and its RF chains. The proposed system will decide the active antennas for power minimization while achieving its data rate requirements. Matlab simulation is used in the proposed study, and the results are validated using the performance parameters such as data rate, transmit power and data rate constraints.

This is a preview of subscription content, log in via an institution.

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. Hsu, C.-C., Chang, J.M., Chou, Z.-T., Abichar, Z.: Optimizing spectrum-energy efficiency in downlink cellular networks. IEEE Trans. Mob. Comput. 13(9), 2100–2112 (2014)

    Article  Google Scholar 

  2. Nigus, H.R., Kim, K-H., Hwang, D., Hussen, H.R.: Multi-antenna channel capacity enhancement in wireless communication. In: Seventh International Conference on Ubiquitous and Future Networks (ICUFN), pp. 77–82 (2015)

    Google Scholar 

  3. Gross, C., Kaup, F., Stingl, D., Richerzhagen, D., Hausheer, D., Steinmetz, R.: EnerSim: an energy consumption model for large-scale overlay simulators. IEEE-Local Comput. Netw. 252–255 (2013)

    Google Scholar 

  4. Haverinen, H., Siren, J., Eronen, P.: Energy consumption of always-on applications in WCDMA networks. In: IEEE Vehicular Technology Conference, Dublin, Ireland, pp. 964–968 (2007)

    Google Scholar 

  5. Vergara, E.J., Tehrani, S.N.: Energybox: a trace-driven tool for data transmission energy consumption studies. In: Energy Efficiency in Large Scale Distributed Systems, pp. 19–34. Springer, Heidelberg (2013)

    Google Scholar 

  6. Balasubramanian, N., Balasubramanian, A., Venkataramani, A.: Energy consumption in mobile phones: a measurement study and implications for network applications. In: ACM Internet Measurement Conference, pp. 280–293, Chicago, USA (2009)

    Google Scholar 

  7. Kelenyi, I., Nurminen, J.K.: Energy aspects of peer cooperation—measurements with a mobile DHT system. In: IEEE International Conference on Communications, pp. 164–168, Beijing, China (2008)

    Google Scholar 

  8. Lane, N.D., Chon, Y., Zhou, L., Zhang, Y., Li, F.: Piggyback Crowd Sensing (PCS): energy efficient crowd sourcing of mobile sensor data by exploiting smart phone app opportunities. In: Proceedings of the 11th ACM Conference on Embedded Networked Sensor Systems (2013)

    Google Scholar 

  9. Damasevicius, R., Stuikys, V., Toldinas, J.: Methods for measurement of energy consumption in mobile devices. Metrol. Meas. Syst. 3, 419–430 (2012)

    Google Scholar 

  10. Perälä, P.H.J., Barbuzzi, A., Boggia, G., Pentikousis, K.: Theory and practice of RRC state transitions in UMTS networks. In: IEEE Broadband Wireless Access Workshop, pp. 1–6, Hawaii, USA (2009)

    Google Scholar 

  11. Han, H., Yu, J., Zhu, H., Chen, Y.: Energy-efficient engine for frame rate adaptation on smartphones. In: Proceedings of the 11th ACM Conference on Embedded Networked Sensor Systems, vol. 15 (2013)

    Google Scholar 

  12. Sun, L., Sheshadri, R.K., Zheng, W., Koutsonikolas, D.: Modeling WiFi active power/energy consumption in smartphones. In: IEEE-34th International Conference on Distributed Computing Systems, pp. 41–51 (2014)

    Google Scholar 

  13. Prasad, S., Balaji, S.: Effectiveness of energy management in mobile devices: a study. Int. J. Electron. Commun. Eng. Technol. (IJECET) 5(3), 58–69 (2014)

    Google Scholar 

  14. Prasad, S., Balaji, S.: Real-time energy dissipation model for mobile devices. Emerg. Res. Comput. Inf. Commun. Appl. 281–288 (2015)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of E&CE, Jain University, Bengaluru, India

    Shalini Prasad

  2. Center for Engineering Technologies, Jain Global Campus, Jain University, Jakkasandra Post, Kanakapura Taluk, Ramanagara District, Bengaluru, 562112, India

    S. Balaji

Authors
  1. Shalini Prasad
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. S. Balaji
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Shalini Prasad .

Editor information

Editors and Affiliations

  1. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlín, Czech Republic

    Radek Silhavy

  2. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlín, Czech Republic

    Roman Senkerik

  3. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlín, Czech Republic

    Zuzana Kominkova Oplatkova

  4. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlín, Czech Republic

    Petr Silhavy

  5. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlín, Czech Republic

    Zdenka Prokopova

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this paper

Cite this paper

Prasad, S., Balaji, S. (2016). Energy Conservation Technique for Multiple Radio Incorporated Smart Phones. In: Silhavy, R., Senkerik, R., Oplatkova, Z., Silhavy, P., Prokopova, Z. (eds) Artificial Intelligence Perspectives in Intelligent Systems. Advances in Intelligent Systems and Computing, vol 464. Springer, Cham. https://doi.org/10.1007/978-3-319-33625-1_6

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-33625-1_6

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-33623-7

  • Online ISBN: 978-3-319-33625-1

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation