Skip to main content
SpringerLink
Log in

A network selection method for handover in vehicle-to-infrastructure communications in multi-tier networks

  • Published:
Wireless Networks Aims and scope Submit manuscript

Abstract

Network selection is very important for a successful handover in a multi-tier heterogeneous networks. However, the primary challenges currently faced by research community is the lack of availability of network information at the mobile node side for efficiently select the most appropriate target network. It is practically difficult for an UE to get network information from base stations/access point of the neighbouring networks before connecting to them. In response to this, this paper proposes a network selection method that applies the knowledge of mobility data and the network load information to carry out an efficient handover for vehicle-to-infrastructure communication over multi-tier heterogeneous networks. We first derive key parameters, such as relative direction index, proximity index, residence time index, and network load index to select the best candidate network. A moving vehicle would be able to select the most appropriate target network by selecting one or more of the above parameters. We then test our algorithms by developing a dual mode vehicle On-Board Unit equipped with both Long Term Evolution-Advanced (LTE-A) and Wi-Fi network interface cards in OPNET simulator. The performance of the proposed handover method is evaluated by extensive OPNET-based simulation experiments. In the simulation model, we consider a multi-tier heterogeneous network comprising of a macro and multiple small cells of LTE-A and IEEE 802.11n technologies. Results show that our proposed handover method offers about 50% higher throughput and up to 43% higher packet delivery ratio than the conventional received signal strengths based network selection method.

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

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14

Similar content being viewed by others

References

  1. Ge, X. (2016). 5G ultra-dense cellular networks. IEEE Wireless Communications, 23(1), 7279.

    Article  Google Scholar 

  2. Hossain, E., et al. (2014). Evolution toward 5G multi-tier cellular wireless networks: An interference management perspective. IEEE Wireless Communications, 21(3), 118127.

    Article  Google Scholar 

  3. Iera, A., Molinaro, A., & Marano, S. (2002). Handoff management with mobility estimation in hierarchical systems. IEEE Transactions on Vehicular Technology, 51(5), 915934.

    Article  Google Scholar 

  4. Ndashimye, E., et al. (2016). Vehicle-to-infrastructure communication over multi-tier heterogeneous networks: A survey. In Computer networks.

  5. Xu, L., et al. (2016). Enterprise LTE and WiFi interworking system and a proposed network selection solution. In Proceedings of the 2016 symposium on architectures for networking and communications systems (pp. 137–138). ACM.

  6. Zhou, T., et al. (2015). Load-aware user association with quality of service support in heterogeneous cellular networks. IET Communications, 9(4), 494500.

    Google Scholar 

  7. ETSITS124312. (2015). Universal mobile telecommunications system (UMTS), LTE; access network discovery and selection functions (ANDSF) management object (MO). In Release 12 3GPP TS 24.312 version 12.10.0.

  8. Kwon, Y. M., et al. (2013). ANDSF-based congestion control procedure in heterogeneous networks. In 2013 International conference on information networking (ICOIN) (pp. 547–550). IEEE.

  9. Yang, S.-N., et al. (2016). Mobility management through access network discovery and selection function for load balancing and power saving in software-defined networking environment. EURASIP Journal on Wireless Communications and Networking, 2016(1), 204.

    Article  Google Scholar 

  10. Kim, D. S., et al. (2013). Efficient ANDSF-assisted Wi-Fi control for mobile data offloading. In Wireless communications and mobile computing conference (IWCMC), 2013 9th international (pp. 343–348). IEEE.

  11. IEEE 802.11 Working Group et al. (2011). IEEE Standard for Information Technology Telecommunications and information exchange between systemsLocal and metropolitan area networksSpecific requirements Part 11: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) specifications Amendment 9: Interworking with External Networks. In IEEE Std 802.11.

  12. Rayment, S., & Bergstrom, J. (2012). Achieving carrier-grade Wi-Fi in the 3GPP world. Ericsson Review Magazine, 2, 2–7.

    Google Scholar 

  13. Altice Labs. (2014). Hotspot 2.0 and ANDSF for smart mobile user connectivity. http://www.alticelabs.com/content/WP-Hotspot2-0-and-ANDSF-for-Smart-Mobile-User-Connectivity.pdf. Accessed 30 June 2018.

  14. Ferng, H.-W., & Huang, Y.-Y. (2016). Handover scheme with enode-B pre-selection and parameter self-optimization for LTE-A heterogeneous networks. In IEEE international conference on machine learning and cybernetics (ICMLC) (Vol. 2, pp. 594–599).

  15. Sadr, S., & Adve, R. S. (2015). Handoff rate and coverage analysis in multi-tier heterogeneous networks. IEEE Transactions on Wireless Communications, 14(5), 26262638.

    Article  Google Scholar 

  16. Wang, S., et al. (2016). A vertical handoff method via self-selection decision tree for internet of vehicles. IEEE Systems Journal, 10(3), 11831192.

    Article  Google Scholar 

  17. Xenakis, D., et al. (2016). Handover decision for small cells: Algorithms, lessons learned and simulation study. Computer Networks, 100, 6474.

    Article  Google Scholar 

  18. Ndashimye, E., Sarkar, N. I., & Ray, S. K. (2017). A mobility-aware network selection method for vehicle-to-infrastructure communication over LTE-A multi-tier networks. In 2017 International conference on information networking (ICOIN) (pp. 315–320). IEEE.

  19. Barmpounakis, S., et al. (2017). Context-aware, userdriven, network-controlled RAT selection for 5G networks. Computer Networks, 113, 124 147.

    Article  Google Scholar 

  20. Ray, S. K., et al. (2010). Self-tracking mobile station controls its fast handover in mobile WiMAX. In 2010 IEEE wireless communications and networking conference (WCNC) (pp. 1–6). IEEE.

  21. Riverbed-Technology. (2018). OPNET moduller. http://www.riverbed.com/products/performance-management-control/opnet.html?redirect=opnet. Accessed 30 June 2018.

  22. Hussein, Y. S., et al. (2016). A novel cell-selection optimization handover for long-term evolution (LTE) macrocellusing fuzzy TOPSIS. Computer Communications, 73, 2233.

    Article  Google Scholar 

  23. Tabany, M. R., Guy, C. G., & Sherratt, R. S. (2017). A novel downlink semi-persistent packet scheduling scheme for VoLTE traffic over heterogeneous wireless networks. EURASIP Journal on Wireless Communications and Networking, 2017(1), 62.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of IT and Software Engineering, Auckland University of Technology, Auckland, New Zealand

    Emmanuel Ndashimye & Nurul I. Sarkar

  2. Faculty of Business and Information Technology, Manukau Institute of Technology, Auckland, New Zealand

    Sayan Kumar Ray

Authors
  1. Emmanuel Ndashimye
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Nurul I. Sarkar
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Sayan Kumar Ray
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Emmanuel Ndashimye.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ndashimye, E., Sarkar, N.I. & Ray, S.K. A network selection method for handover in vehicle-to-infrastructure communications in multi-tier networks. Wireless Netw 26, 387–401 (2020). https://doi.org/10.1007/s11276-018-1817-x

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11276-018-1817-x

Keywords

Search

Navigation