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Multi-path Selection Based on Attractor Selection in Heterogeneous Networks

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Communications, Signal Processing, and Systems (CSPS 2017)

Abstract

In order to solve the problem of wireless resource scarcity, a novel heterogeneous network of power line carrier and wireless network (IPWN) is proposed. IPWN employs extended attractor selection algorithm (EASA) to select the optimal path from multi-path candidates. EASA is based on the attractor selection algorithm (ASA), which can select the optimal path adaptively and dynamically. Moreover, the delay threshold of the EASA is calculated to reduce the delay and the number of connections. Simulation results show that the IPWN based on EASA with delay threshold is superior to the network employed greedy algorithm. At the same time, IPWN is robust and stable.

This work is supported by the WLAN achievement transformation based on SDN of Beijing Municipal Commission of Education No. 201501001 and Science Foundation of West Anhui University No. WXZR201630.

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References

  1. Cisco: Cisco Visual Networking Index: Global Mobile Data Traffic Forecast Update, 2016–2021 White Paper (2017)

    Google Scholar 

  2. Mchmeti, F., Spyropoulos, T.: Performance analysis of mobile data offloading in heterogeneous networks. IEEE Trans. Mobile Comput. 16(2), 482–497 (2017)

    Google Scholar 

  3. Yin, R., Chai, R., Chen, Q.: Joint utility optimization based vertical handoff algorithm in heterogeneous network. In: Global Communications Conference, pp. 5243–5248, December 2012

    Google Scholar 

  4. Chen, W., JinMing, Y., Pan, F.: Opriority-based call admission control scheme for Qos provisioning in heterogeneous wireless networks. J. Netw. 6(2), 319–329 (2011)

    Google Scholar 

  5. Chen, G., Xia, W., Shen, L.: Dynamic bandwidth allocation algorithm based on transmission rate adaptation. J. Commun. 35(5), 25–32 (2014)

    Google Scholar 

  6. Zhai, L., Hong, J., Xi, L., et al.: Multiplicative multi-attribute auction based optimal network selection for heterogeneous wireless networks. J. China Univ. Posts Telecommun. 19(4), 1–5 (2012)

    Google Scholar 

  7. Fan, W., Liu, Y., Fan, W.: Research on multi-access selection mechanism for multi-modeterminals in heterogeneous wireless networks. J. Commun. 33(4), 183–190 (2012)

    Google Scholar 

  8. Chen, Q.B., Zhou, W.G., Chai, R., et al.: Game-theoretic approach for pricing strategy and network selection in heterogeneous wireless networks. IIET Commun. 5(5), 676–682 (2011)

    Google Scholar 

  9. Damnjanovic, A., Montojo, J., Wei, Y., et al.: A survey on 3GPP hetero-geneous networks. Wirel. Commun. 18(4), 10–21 (2011)

    Google Scholar 

  10. Wu, H., Wen, X., Lu, Z., Pan, Q.: Muti-access selection with attractor selection algorithm in heterogeneous network. In: International Conference on Communications in China (ICCC) (2015)

    Google Scholar 

  11. Kashiwagi, A., et al.: Adaptive response of a gene network to environmental changes by fitness-induced attractor selection. PloS one 1(1), e49 (2006)

    Google Scholar 

  12. Leibnitz, K., Wakamiya, N., Murata, M.: Self-adaptive ad-hoc/sensor network routing with attractor selection. In: IEEE Global Communications Conference GLOBECOM (2006)

    Google Scholar 

  13. Tian, D., et al.: A dynamic and self-adaptive network selection method for multimode communications in heterogeneous vehicular telematics. IEEE Trans. Intell. Transp. Syst. 16(6), 3033–3049 (2015)

    Google Scholar 

  14. Leibnitz, K., Wakamiya, N., Murata, M.: Biologically inspired self-adaptive multi-path routing in overlay networks. Commun. ACM 49(3), 63–67 (2006)

    Google Scholar 

  15. Li, Y., Wang, J., Xu, Y.: Adaptive intentional connection rerouting for traffic grooming in WDN mesh networks with Biological attractor selection. In: Asia-Pacific Conference on Communications, pp. 83–88 (2010)

    Google Scholar 

  16. Zhiqun, H., Wen, X., Zhaoming, L., Jing, W.: AORS: adaptive mobile data offloading based on attractor selection in heterogeneous wireless networks. Wireless Netw. 23, 831–842 (2017)

    Google Scholar 

  17. Haibo, X., Tian, H., Feng, Y.: Cross-layer resource allocation for QoS guarantee with finite queue constraint in multirate OFDMA wireless networks. J. China Univ. Posts Telecommun. 15(3), 87–94 (2008)

    Google Scholar 

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Wu, H., Wen, X., Lu, Z. (2019). Multi-path Selection Based on Attractor Selection in Heterogeneous Networks. In: Liang, Q., Mu, J., Jia, M., Wang, W., Feng, X., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2017. Lecture Notes in Electrical Engineering, vol 463. Springer, Singapore. https://doi.org/10.1007/978-981-10-6571-2_306

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  • DOI: https://doi.org/10.1007/978-981-10-6571-2_306

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  • Print ISBN: 978-981-10-6570-5

  • Online ISBN: 978-981-10-6571-2

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