Performance evaluation of multi service provisioning for multi-hop cooperative data dissemination in SDHVN | Journal of Ambient Intelligence and Humanized Computing Skip to main content
Springer Nature Link
Log in

Performance evaluation of multi service provisioning for multi-hop cooperative data dissemination in SDHVN

  • Original Research
  • Published:
Journal of Ambient Intelligence and Humanized Computing Aims and scope Submit manuscript

Abstract

A large number of RSUs are deployed to improve vehicular ad-hoc networks (VANETs) in recent years. On the other hand, it leads to an increase in the cost of the network. Multi-hop cooperative data dissemination (MHCDD) protocols can reduce using RSUs. These RSUs must cope with intermittent connectivity for longer distance communication. Minimizing the RSUs increases the data traffic and end-to-end delay. Moreover, mobility management, handling the connection time between vehicles, and data traffic in VANETs are challenging tasks in dense networks. In this context, we proposed a multi-hop cooperative data dissemination technique using a virtual network functioning and software-defined network-enable on the heterogeneous vehicular network (SDHVN). The problem of packet scheduling on the buffer occupancy is solved using an enhanced periodic update (ePU) and enhancing event-driven deadline (eEDD). The results illustrate the proposed algorithm’s significant performance in terms of availability with the limited wireless channels. The queueing models adopted for optimizing the load balancing are by using the mobile edge controller. These queueing model minimizes the latency and maximizes network utility.

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

Access this article

Log in via an institution

Subscribe and save

Springer+ Basic
¥17,985 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price includes VAT (Japan)

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

Similar content being viewed by others

Explore related subjects

Discover the latest articles, news and stories from top researchers in related subjects.

References

  • Abbas MT, Muhammad A, Song W-C (2020) SD-IoV: SDN enabled routing for internet of vehicles in road-aware approach. J Ambient Intell Humaniz Comput 11(3):1265–1280

    Article  Google Scholar 

  • Ali GMN, Chong PHJ, Samantha SK, Chan E (2016) Efficient data dissemination in cooperative multi-RSU vehicular ad hoc networks (VANETs). J Syst Softw 117:508–527

    Article  Google Scholar 

  • Bertsekas DP, Gallager RG, Humblet P (1992) Data networks, vol 2. Prentice-Hall International, New Jersey

    MATH  Google Scholar 

  • Chahal M, Harit S (2019) Network selection and data dissemination in heterogeneous software-defined vehicular network. Comput Netw 161:32–44

    Article  Google Scholar 

  • Chen J, Zhou H, Zhang N, Xu W, Yu Q, Gui L, Shen X (2017) Service-oriented dynamic connection management for software-defined internet of vehicles. IEEE Trans Intell Transp Syst 18(10):2826–2837

    Article  Google Scholar 

  • Dai P, Liu K, Wu X, Yu Z, Xing H, Lee VCS (2018) Cooperative temporal data dissemination in SDN-based heterogeneous vehicular networks. IEEE Internet Things J 6(1):72–83

    Article  Google Scholar 

  • Donta PK, Amgoth T, Annavarapu CSR (2020) An extended ACO-based mobile sink path determination in wireless sensor networks. J Ambient Intell Humaniz Comput. https://doi.org/10.1007/s12652-020-02595-7

    Article  Google Scholar 

  • Fontes RDR, Campolo C, Rothenberg CE, Molinaro A (2017) From theory to experimental evaluation: resource management in software-defined vehicular networks. IEEE Access 5:3069–3076

    Article  Google Scholar 

  • Gatti R (2020) Improved resource allocation scheme for optimizing the performance of cell-edge users in LTE-A system. J Ambient Intell Humaniz Comput. https://doi.org/10.1007/s12652-020-02084-x

    Article  Google Scholar 

  • Ghai KS, Choudhury S, Yassine A (2020) Efficient algorithms to minimize the end-to-end latency of edge network function virtualization. J Ambient Intell Humaniz Comput. https://doi.org/10.1007/s12652-019-01630-6

    Article  Google Scholar 

  • Gong W, Li G, Li B (2018) System utility based resource allocation for D2D multicast communication in software-defined cellular networks. AEU Int J Electron Commun 96:138–143

    Article  Google Scholar 

  • He Z, Cao J, Liu X (2016a) SDVN: enabling rapid network innovation for heterogeneous vehicular communication. IEEE Netw 30(4):10–15

    Article  Google Scholar 

  • He Z, Zhang D, Liang J (2016b) Cost-efficient sensory data transmission in heterogeneous software-defined vehicular networks. IEEE Sens J 16(20):7342–7354

    Article  Google Scholar 

  • Huang X, Yu R, Kang J, He Y, Zhang Y (2017) Exploring mobile edge computing for 5G-enabled software defined vehicular networks. IEEE Wirel Commun 24(6):55–63

    Article  Google Scholar 

  • Jaballah WB, Conti M, Lal C (2019) A survey on software-defined VANETs: benefits, challenges, and future directions. arXiv preprint arXiv:1904.04577

  • Kumar A, Abdelhadi A, Clancy TC (2018) Design and implementation of practical schedulers for M2M uplink networks: using MATLAB. Springer

    Book  Google Scholar 

  • Li H, Dong M, Ota K (2016) Control plane optimization in software-defined vehicular ad hoc networks. IEEE Trans Veh Technol 65(10):7895–7904

    Article  Google Scholar 

  • Liu K, Ng JK, Lee V, Son SH, Stojmenovic I (2016) Cooperative data scheduling in hybrid vehicular ad hoc networks: VANET as a software defined network. IEEE ACM Trans Netw TON 24(3):1759–1773

    Article  Google Scholar 

  • Liu K, Xu X, Chen M, Liu B, Wu L, Lee VC (2019) A hierarchical architecture for the future internet of vehicles. IEEE Commun Mag 57(7):41–47

    Article  Google Scholar 

  • Luo G, Zhou H, Cheng N, Yuan Q, Li J, Yang F, Shen XS (2019) Software defined cooperative data sharing in edge computing assisted 5G-VANET. IEEE Trans Mob Comput. https://doi.org/10.1109/TMC.2019.2953163

    Article  Google Scholar 

  • Mahmood A (2019) Towards software defined heterogeneous vehicular networks for intelligent transportation systems. In: 2019 IEEE international conference on pervasive computing and communications workshops (PerCom workshops), IEEE, pp 441–442

  • Misra S, Bera S (2019) Soft-van: mobility-aware task offloading in software-defined vehicular network. IEEE Trans Veh Technol 69(2):2071–2078

    Article  Google Scholar 

  • Ni Y, He J, Cai L (2017) Data dissemination in software-defined vehicular networks. In: 2017 IEEE 86th vehicular technology conference (VTC-Fall), IEEE, pp 1–5

  • Pande SK, Panda SK, Das S (2020) Dynamic service migration and resource management for vehicular clouds. J Ambient Intell Humaniz Comput. https://doi.org/10.1007/s12652-020-02166-w

    Article  Google Scholar 

  • Raj AS, Chinnadurai M (2021) An queueing model with improved delay sensitive medical packet transmission scheduling system in e-health networks. J Ambient Intell Humaniz Comput. https://doi.org/10.1007/s12652-020-02756-8

    Article  Google Scholar 

  • Rana KK, Tripathi S, Raw RS (2020) Inter-vehicle distance-based location aware multi-hop routing in vehicular ad-hoc network. J Ambient Intell Humaniz Comput 1–13

  • Ravi B, Gautam A, Thangaraj J (2020) Stochastic performance modeling and analysis of multi service provisioning with software defined vehicular networks. AEU Int J Electron Commun. https://doi.org/10.1016/j.aeue.2020.153327

    Article  Google Scholar 

  • Shen X, Cheng X, Yang L, Zhang R, Jiao B (2014) Data dissemination in VANETs: a scheduling approach. IEEE Trans Intell Transp Syst 15(5):2213–2223

    Article  Google Scholar 

  • Shrivastava A, Bansod P, Gupta K, Merchant SN (2018) An improved multicast based energy efficient opportunistic data scheduling algorithm for VANET. AEU Int J Electron Commun 83:407–415

    Article  Google Scholar 

  • Sivasakthi DA, Gunasekaran R (2021) Dynamic ambient HetNet for hybrid data communication and transmission in IOT networks. J Ambient Intell Humaniz Comput. https://doi.org/10.1007/s12652-020-02689-2

    Article  Google Scholar 

  • Sudheera KLK, Ma M, Chong PHJ (2019) Link stability based optimized routing framework for software defined vehicular networks. IEEE Trans Veh Technol 68(3):2934–2945

    Article  Google Scholar 

  • Varuna WR, Vadivel R (2020) Design of an effectual node balancing cluster with partitioner algorithm using Markov decision process. J Ambient Intell Humaniz Comput. https://doi.org/10.1007/s12652-020-01891-6

    Article  Google Scholar 

  • Xiao K, Liu K, Xu X, Zhou Y, Feng L (2019) Efficient fog-assisted heterogeneous data services in software defined VANETs. J Ambient Intell Humaniz Comput. https://doi.org/10.1007/s12652-019-01507-8

    Article  Google Scholar 

  • Xiong B, Yang K, Zhao J, Li W, Li K (2016) Performance evaluation of openflow-based software-defined networks based on queueing model. Comput Netw 102:172–185

    Article  Google Scholar 

  • Yaqoob I, Ahmad I, Ahmed E, Gani A, Imran M, Guizani N (2017) Overcoming the key challenges to establishing vehicular communication: is SDN the answer? IEEE Commun Mag 55(7):128–134

    Article  Google Scholar 

  • Zhang N, Zhang S, Yang P, Alhussein O, Zhuang W, Shen XS (2017) Software defined space-air-ground integrated vehicular networks: challenges and solutions. IEEE Commun Mag 55(7):101–109

    Article  Google Scholar 

  • Zheng K, Hou L, Meng H, Zheng Q, Lu N, Lei L (2016) Soft-defined heterogeneous vehicular network: architecture and challenges. IEEE Netw 30(4):72–80

    Article  Google Scholar 

  • Zheng K, Zheng Q, Chatzimisios P, Xiang W, Zhou Y (2015) Heterogeneous vehicular networking: a survey on architecture, challenges, and solutions. IEEE Commun Surv Tutor 17(4):2377–2396

    Article  Google Scholar 

Download references

Acknowledgements

We thankfully acknowledge the Department of Science and Technology (DST-SERB(ECR/2018/000913)) for financial support. We also acknowledge our thanks to the Department of Electronics Engineering of the Indian Institute of Technology (Indian School of Mines), Dhanbad, Jharkhand, India 826004.

Author information

Authors and Affiliations

  1. Department of Electronics Engineering, Indian Institute of Technology (Indian School of Mines), Dhanbad, Jharkhand, India

    Banoth Ravi & Jaisingh Thangaraj

Authors
  1. Banoth Ravi
    View author publications

    You can also search for this author inPubMed Google Scholar

  2. Jaisingh Thangaraj
    View author publications

    You can also search for this author inPubMed Google Scholar

Corresponding author

Correspondence to Jaisingh Thangaraj.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ravi, B., Thangaraj, J. Performance evaluation of multi service provisioning for multi-hop cooperative data dissemination in SDHVN. J Ambient Intell Human Comput 13, 4773–4786 (2022). https://doi.org/10.1007/s12652-021-03227-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12652-021-03227-4

Keywords