Skip to main content
SpringerLink
Log in

An Optimization Strategy of Energy Consumption for Data Transmission Based on Optimal Stopping Theory in Mobile Networks

  • Conference paper
  • First Online:
Algorithms and Architectures for Parallel Processing (ICA3PP 2015)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9531))

Abstract

With the wide deployment of mobile network, it’s very important to utilize mobile networks resource efficiently and decrease energy consumption of wireless terminals for constructing green mobile computing. This paper mainly studies minimization problem of energy consumption in data transmission under the given data generation rate and transmission delay demand in wireless links. Firstly, a finite horizon optimal stopping problem with transmission data quantity constraint and energy consumption minimization is constructed, and then we prove the existence of optimal stopping rule and offer the solutions and processes. At last, we obtain the optimal transmission rate threshold of the sending terminal for each channel detection slot time, so as to form the optimization strategy of energy consumption for data transmission based on optimal stopping theory. The simulation results show that the strategy proposed by this paper has lower average energy consumption and higher average delivery success ratio than other strategies, and achieves better optimization effect in energy consumption.

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

Access this chapter

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 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
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

Institutional subscriptions

Similar content being viewed by others

References

  1. Lin, C., Tian, Y., Yao, M.: Green network and green evaluation: mechanism, modeling and evaluation. Chin. J. Comput. 34(4), 593–612 (2011). (in Chinese)

    Article  Google Scholar 

  2. Asadi, A., Mancuso, V.: A survey on opportunistic scheduling in wireless communications. IEEE Commun. Surv. Tutorials 15(4), 1671–1688 (2013)

    Article  Google Scholar 

  3. Garcia-Saavedra, A., Serrano, P., Banchs, A.: Energy-efficient optimization for distributed opportunistic scheduling. IEEE Commun. Lett. 18(6), 1083–1086 (2014)

    Article  Google Scholar 

  4. Poulakis, M.I., Panagopoulos, A.D., Constantinou, P.: Channel-aware opportunistic transmission scheduling for energy-efficient wireless links. IEEE Trans. Veh. Technol. 62(1), 192–204 (2013)

    Article  Google Scholar 

  5. Yan, Z.-J., Zhang, Z., Jiang, H., et al.: Optimal traffic scheduling in vehicular delay tolerant networks. IEEE Commun. Lett. 16(1), 50–53 (2012)

    Article  Google Scholar 

  6. Huang, L.-J., Jiang, H., Zhang, Z., et al.: Optimal traffic scheduling between roadside units in vehicular delay tolerant networks. IEEE Trans. Veh. Technol. 64(3), 1079–1094 (2015)

    Article  Google Scholar 

  7. Amin, O., Lampe, L.: Opportunistic Energy Efficient Cooperative Communication. IEEE Wirel. Commun. Lett. 1(5), 412–415 (2012)

    Article  Google Scholar 

  8. Zuo, J., Dong, C., Nguyen, H.V., et al.: Cross-layer aided energy-efficient opportunistic routing in ad hoc networks. IEEE Trans. Commun. 62(2), 522–535 (2014)

    Article  Google Scholar 

  9. Wang, G., Peng, Y., Feng, P., et al.: An energy consumption minimization routing scheme based on rate adaptation with QoS guarantee for the mobile environment. Comput. Netw. 74, 48–57 (2014). doi:10.1016/j.comnet.2014.09.006

    Article  Google Scholar 

  10. Chen, H., Baras, J.S.: Distributed opportunistic scheduling for wireless ad-hoc networks with block-fading model. IEEE J. Sel. Areas Commun. 31(11), 2324–2337 (2013)

    Article  Google Scholar 

  11. HayKin, S., Tie-Cheng, S., Ping-Ping, X., et al.: Communication System, 4. Publishing House of Electronics Industry, Beijing (2012). (in Chinese)

    Google Scholar 

  12. Ferguson, T.S.: Optimal Stopping and Applications, http://www.math.ucla.edu/~tom/Stopping/Contents.html. 2006

Download references

Acknowledgments

This research is supported in part by the National Natural Science Foundation of China under Grant Nos. 61562006, 61262003, in part by the Natural Science Foundation of Guangxi Province under Grant No.2010GXNSFC013013.

Author information

Authors and Affiliations

  1. College of Electrical Engineering, Guangxi University, Nanning, 530004, China

    Ying Peng

  2. School of Computer and Electronic Information, Guangxi University, Nanning, 530004, China

    Nao Wang & Gaocai Wang

Authors
  1. Ying Peng
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Nao Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Gaocai Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Gaocai Wang .

Editor information

Editors and Affiliations

  1. Central South University, Changsha, China

    Guojun Wang

  2. The University of Sydney, Sydney, New South Wales, Australia

    Albert Zomaya

  3. University of Murcia, Murcia, Murcia, Spain

    Gregorio Martinez

  4. Hunan University, Changsha, China

    Kenli Li

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

Peng, Y., Wang, N., Wang, G. (2015). An Optimization Strategy of Energy Consumption for Data Transmission Based on Optimal Stopping Theory in Mobile Networks. In: Wang, G., Zomaya, A., Martinez, G., Li, K. (eds) Algorithms and Architectures for Parallel Processing. ICA3PP 2015. Lecture Notes in Computer Science(), vol 9531. Springer, Cham. https://doi.org/10.1007/978-3-319-27140-8_20

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-27140-8_20

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-27139-2

  • Online ISBN: 978-3-319-27140-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation