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Network Time Balance Management Based on TFRR Optimization Algorithm

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 613))

Abstract

Network coordination work based on IEEE802.11 protocol will form a network blocking phenomenon when it was accessed into channels at a same site and the same site and with the same rate. According to the analysis of network throughput and fairness theories, this paper presents an optimization algorithm based on the accessibility of TFRR algorithm to network balance, so as to improve the network working performance and avoid the occurrence of channel blocking phenomenon through the round robin queue of adjustable time for. And the tests show that the theoretical basis of the algorithm is feasible in practice with a pure quadratic function, the minimum is reached within N iterations (excepting round-off error), but a non-quadratic function likely to makes slower progress. The subsequent search directions lose noncompliance requiring the search direction to be reset to the steepest descent direction at minimum for every N iterations, or earlier if the progress is contained. If every iteration is reset, then it turns it to the steepest. The algorithm will not work if it gets the minimum, determined when there is no progress after a direction reset (i.e. in the steepest descent direction), or if any tolerance criterion is reached. Within a linear approximation, the parameter α {\displaystyle \displaystyle \alpha} and the parameter β {\displaystyle \displaystyle \beta} are equal in the linear conjugate gradient method and they get the line searches. The conjugate gradient method will follow the narrow or ill-conditioned valleys and the steepest descent method slows down which follows a criss-cross pattern.

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References

  1. Lin, P., Chou, W., Lin, T.: Achieving airtime fairness of delaysensitive applications in multirate IEEE 802.11 Wireless LANs. IEEE Commun. Mag. 49, 169–175 (2011)

    Article  Google Scholar 

  2. Le, Y., Ma, L., Cheng, W.: A time fairness based MAC algorithm for throughput maximization in 802.11 networks. IEEE Trans. Comput. 64, 19–31 (2015)

    Article  MathSciNet  Google Scholar 

  3. Hu, S.P., Li, J.D., Pan, G.F.: Performance and fairness enhancement in IEEE 802.11 WLAN networks. AEU Int. J. Electron. Commun. 68, 667–675 (2014)

    Article  Google Scholar 

  4. Song, W., Zhuang, W., Cheng, Y.: Load balancing for cellular/WLAN integrated networks. IEEE Netw. 21(1), 27–33 (2007)

    Article  Google Scholar 

  5. Yilmaz, O., et al.: Access selection in WCDMA and WLAN multi-access networks. In: 2005 IEEE 61st Vehicular Technology Conference, vol. 4(8), pp. 12–16. IEEE (2005)

    Google Scholar 

  6. Akyildiz, I.F., et al.: Wireless sensor networks: a survey. Comput. Netw. 38(4), 393–422 (2002)

    Article  Google Scholar 

  7. Cavalcanti, D., et al.: Issues in integrating cellular networks WLANs, AND MANETs: a futuristic heterogeneous wireless network. IEEE Wirel. Commun. 12(3), 30–41 (2005)

    Article  Google Scholar 

  8. Nasser, N., Hasswa, A., Hassanein, H.: Handoffs in fourth generation heterogeneous networks. IEEE Commun. Mag. 44(10), 96–103 (2006)

    Article  Google Scholar 

  9. Faccin, S.M., et al.: Mesh WLAN networks: concept and system design. IEEE Wirel. Commun. 13(2), 10–17 (2006)

    Article  Google Scholar 

  10. Jones, C.E., et al.: A survey of energy efficient network protocols for wireless networks. Wirel. Netw. 7(4), 343–358 (2001)

    Article  MATH  Google Scholar 

  11. Sun, G., et al.: Signal processing techniques in network-aided positioning: a survey of state-of-the-art positioning designs. IEEE Signal Process. Mag. 22(4), 12–23 (2005)

    Article  Google Scholar 

  12. Chlamtac, I., Conti, M., Liu, J.J.-N.: Mobile ad hoc networking: imperatives and challenges. Ad Hoc Netw. 1(1), 13–64 (2003)

    Article  Google Scholar 

  13. Koubâa, A., et al.: TDBS: a time division beacon scheduling mechanism for ZigBee cluster-tree wireless sensor networks. Real-Time Syst. 40(3), 321–354 (2008)

    Article  MATH  Google Scholar 

  14. Han, B., Jia, W., Lin, L.: Performance evaluation of scheduling in IEEE 802.16 based wireless mesh networks. Comput. Commun. 30(4), 782–792 (2007)

    Article  Google Scholar 

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Correspondence to Liguo Wang .

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Wang, L., Tang, X. (2018). Network Time Balance Management Based on TFRR Optimization Algorithm. In: Mizera-Pietraszko, J., Pichappan, P. (eds) Lecture Notes in Real-Time Intelligent Systems. RTIS 2016. Advances in Intelligent Systems and Computing, vol 613. Springer, Cham. https://doi.org/10.1007/978-3-319-60744-3_19

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  • DOI: https://doi.org/10.1007/978-3-319-60744-3_19

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-60743-6

  • Online ISBN: 978-3-319-60744-3

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