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

  • Ying Peng
  • Nao Wang
  • Gaocai WangEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9531)


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.


Mobile networks Data transmission Optimal stopping Energy consumption optimization Optimal rate 



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.


  1. 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)CrossRefGoogle Scholar
  2. 2.
    Asadi, A., Mancuso, V.: A survey on opportunistic scheduling in wireless communications. IEEE Commun. Surv. Tutorials 15(4), 1671–1688 (2013)CrossRefGoogle Scholar
  3. 3.
    Garcia-Saavedra, A., Serrano, P., Banchs, A.: Energy-efficient optimization for distributed opportunistic scheduling. IEEE Commun. Lett. 18(6), 1083–1086 (2014)CrossRefGoogle Scholar
  4. 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)CrossRefGoogle Scholar
  5. 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)CrossRefGoogle Scholar
  6. 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)CrossRefGoogle Scholar
  7. 7.
    Amin, O., Lampe, L.: Opportunistic Energy Efficient Cooperative Communication. IEEE Wirel. Commun. Lett. 1(5), 412–415 (2012)CrossRefGoogle Scholar
  8. 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)CrossRefGoogle Scholar
  9. 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 CrossRefGoogle Scholar
  10. 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)CrossRefGoogle Scholar
  11. 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. 12.
    Ferguson, T.S.: Optimal Stopping and Applications, 2006

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.College of Electrical EngineeringGuangxi UniversityNanningChina
  2. 2.School of Computer and Electronic InformationGuangxi UniversityNanningChina

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