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An efficient vehicular-relay selection scheme for vehicular communication

Abstract

Vehicular delay-tolerant networks follow a store–carry–forward mechanism to overcome the state of broken links between source and destination, which is crucial for autonomous vehicle networks. These networks depend upon the mobility of vehicular-relay nodes, which can adopt the store–carry–forward arrangement and provide consent to utilize their resources for packet forwarding. In reality, vehicular-relay nodes drop packets because of a lack of resources and selfish behavior, leading to potential failures in networks. The reason for this failure in performance is the absence of an efficient relay node selection strategy. Typically, vehicular delay networks can provide communication solutions in challenging conditions when other traditional networks fail to perform due to disconnection. However, if the routing strategy does not consider nodes’ selfish nature and relay nodes’ inefficiency, packet drops continue, and the approach will fail to perform. This paper proposes a routing strategy, known as the best-choice vehicular-relay selection strategy for vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) transmission, to overcome this breakdown situation. The proposed strategy selects the best-performing vehicular-relay nodes and restricts the packet replication to low-performing vehicular nodes. The proposed routing strategy selects the best-choice relay nodes based on their past performance. Numerical analysis and our simulation results show that the proposed approach outperforms some of the leading routing strategies in its class by increasing the delivery probability, decreasing the overhead ratio, average latency, and the number of dropped packets in the vehicular network.

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Data sharing is not applicable to this article as no datasets were generated or analyzed during the current study.

References

  • Ahmed SH, Mu D, Kim D (2018) Improving bivious relay selection in vehicular delay tolerant networks. IEEE Trans Intell Transp Syst 19(3):987–995

    Article  Google Scholar 

  • Al Amiri W, Baza M, Banawan K, Mahmoud M, Alasmary W, Akkaya K (2019) Privacy-preserving smart parking system using blockchain and private information retrieval. In: 2019 International conference on smart applications, communications and networking (SmartNets). IEEE, pp 1–6

  • Al Amiri W, Baza M, Banawan K, Mahmoud M, Alasmary W, Akkaya K (2020) Towards secure smart parking system using blockchain technology. In: 2020 IEEE 17th annual consumer communications & networking conference (CCNC). IEEE, pp 1–2

  • Ali M, Qaisar S, Naeem M, Mumtaz S, Rodrigues JJ (2020) Combinatorial resource allocation in d2d assisted heterogeneous relay networks. Futur Gener Comput Syst 107:956–964

    Article  Google Scholar 

  • Baza M, Mahmoud M, Srivastava G, Alasmary W, Younis M (2020) A light blockchain-powered privacy-preserving organization scheme for ride sharing services. In: 2020 IEEE 91st vehicular technology conference (VTC2020-Spring). IEEE, pp 1–6

  • Cao Y, Sun Z (2013) Routing in delay/disruption tolerant networks: a taxonomy, survey and challenges. IEEE Commun Surv Tutor 15(2):654–677

    Article  Google Scholar 

  • Cheng L, Liu J, Xu G, Zhang Z, Wang H, Dai HN, Wu Y, Wang W (2019) Sctsc: a semicentralized traffic signal control mode with attribute-based blockchain in iovs. IEEE Trans Comput Soc Syst 6(6):1373–1385

    Article  Google Scholar 

  • Cheng CF, Srivastava G, Lin JCW, Lin YC (2021) Fault-tolerance mechanisms for software-defined internet of vehicles. IEEE Trans Intell Transp Syst

  • Cueva-Fernandez G, Espada JP, García-Díaz V, Gonzalez-Crespo R (2015) Fuzzy decision method to improve the information exchange in a vehicle sensor tracking system. Appl Soft Comput 35:708–716

    Article  Google Scholar 

  • Du Z, Wu C, Chen X, Wang X, Yoshinaga T, Ji Y (2020) A vdtn scheme with enhanced buffer management. Wirel Netw 2020:1–12

    Google Scholar 

  • Fall K (2003) A delay-tolerant network architecture for challenged internets. In: Proceedings of the 2003 conference on applications, technologies, architectures, and protocols for computer communications. ACM, pp 27–34

  • Fall K, Farrell S (2008) Dtn: an architectural retrospective. IEEE J Sel Areas Commun 26(5):2008

    Article  Google Scholar 

  • Fall K, Scott KL, Burleigh SC, Torgerson L, Hooke AJ, Weiss HS, Durst RC, Cerf V(2007) Delay-tolerant networking architecture

  • Ferguson TS et al (1989) Who solved the secretary problem? Stat Sci 4(3):282–289

    MathSciNet  MATH  Google Scholar 

  • Feteiha MF, Hassanein HS, Kubbar O (2013) Opportunistic cooperation for infrastructure-to-relaying-vehicles over lte-a networks. In: 2013 IEEE international conference on communications (ICC). IEEE, pp 6376–6380

  • Fu Q, Zhang L, Feng W, Zheng Y (2011) Dawn: a density adaptive routing algorithm for vehicular delay tolerant sensor networks. In: 2011 49th annual allerton conference on communication, control, and computing (Allerton). IEEE, pp 1250–1257

  • Grasic S, Davies E, Lindgren A, Doria A(2011) The evolution of a dtn routing protocol-prophetv2. In: Proceedings of the 6th ACM workshop on challenged networks. ACM, pp 27–30

  • Hamza-Cherif A, Boussetta K, Diaz G, Lahfa F (2018) Performance evaluation and comparative study of main vdtn routing protocols under small-and large-scale scenarios. Ad Hoc Netw 81:122–142

    Article  Google Scholar 

  • Jain S, Fall K, Patra R (2004) Routing in a delay tolerant network, vol 34. ACM

  • Keränen A, Ott J, Kärkkäinen T (2009) The one simulator for dtn protocol evaluation. In: Proceedings of the 2nd international conference on simulation tools and techniques, p 55. ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering)

  • Khabbaz MJ, Fawaz WF, Assi CM (2011) Probabilistic bundle relaying schemes in two-hop vehicular delay tolerant networks. IEEE Commun Lett 15(3):281–283

    Article  Google Scholar 

  • Lindgren A, Doria A, Schelen O (2004) Probabilistic routing in intermittently connected networks. In: Service assurance with partial and intermittent resources. Springer, pp 239–254

  • Liu P, Ding Y, Fu T (2019) Optimal throwboxes assignment for big data multicast in vdtns. Wirel Netw 2019:1–11

    Google Scholar 

  • Meneguette RI, Boukerche A, Silva FA, Villas L, Ruiz LB, Loureiro AA (2018) A novel self-adaptive content delivery protocol for vehicular networks. Ad Hoc Netw 73:1–13

    Article  Google Scholar 

  • Misra S, Saha BK, Pal S (2016) Opportunistic mobile networks

  • Nasir MK, Shah SAA, Qureshi MA, Oche M, Noor RM (2014) Adapting geographical dtn routing for enhanced connectivity in partitioned vanets on highways. In: Region 10 symposium, 2014 IEEE. IEEE, pp 105–110

  • Oliveira R, Luís M, Sargento S (2019) On the performance of social-based and location-aware forwarding strategies in urban vehicular networks. Ad Hoc Netw 93:101925

  • Pereira PR, Casaca A, Rodrigues JJ, Soares VN, Triay J, Cervelló-Pastor C (2011) From delay-tolerant networks to vehicular delay-tolerant networks. IEEE Commun Surv Tutor 14(4):1166–1182

    Article  Google Scholar 

  • Qin H, Xiao X, Chen W, Li N, Zeng M, Cao B, Peng Y (2021) Utilizing vanets as supplementary communication infrastructure for delay-tolerant bulky data transportation. Ad Hoc Netw 112:102394

    Article  Google Scholar 

  • Rueckelt T, Stavrakakis I, Meuser T, Brahmi IH, Böhnstedt D, Steinmetz R (2019) Data transmission plan adaptation complementing strategic time-network selection for connected vehicles. Ad Hoc Netw 82:146–154

    Article  Google Scholar 

  • Singh AK, Pamula R. Vehicular delay tolerant network based communication using machine learning classifiers. Architectural Wireless Networks Solutions and Security Issues, p 195

  • Singh AK, Pamula R (2021) An efficient and intelligent routing strategy for vehicular delay tolerant networks. Wirel Netw 27(1):383–400

    Article  Google Scholar 

  • Spyropoulos T, Psounis K, Raghavendra CS (2008) Efficient routing in intermittently connected mobile networks: the multiple-copy case. IEEE/ACM Trans Netw 16(1):77–90

    Article  Google Scholar 

  • Spyropoulos T, Psounis K, Raghavendra CS (2005) Spray and wait: an efficient routing scheme for intermittently connected mobile networks. In: Proceedings of the 2005 ACM SIGCOMM workshop on Delay-tolerant networking. ACM, pp 252–259

  • Vahdat A, Becker D et al (2000) Epidemic routing for partially connected ad hoc networks

  • Wang Y, Liu Y, Zhang J, Ye H, Tan Z (2016) Cooperative store-carry-forward scheme for intermittently connected vehicular networks. IEEE Trans Veh Technol 66(1):777–784

    Google Scholar 

  • Wang H, Song L, Zhang G, Chen H (2018) Timetable-aware opportunistic dtn routing for vehicular communications in battlefield environments. Futur Gener Comput Syst 83:95–103

    Article  Google Scholar 

  • Wang J, Zhang H, Tang X, Li Z (2020) Delay-tolerant routing and message scheduling for cr-vanets. Futur Gener Comput Syst 110:291–309

    Article  Google Scholar 

  • Wu JMT, Wei M, Srivastava G, Chen CM, Lin JCW (2020) Mining large-scale high utility patterns in vehicular ad hoc network environments. Transactions on Emerging Telecommunications Technologies

  • Wu D, Zhu G, Zhao D (2013) Adaptive carry-store forward scheme in two-hop vehicular delay tolerant networks. IEEE Commun Lett 17(4):721–724

    Article  Google Scholar 

  • Xu X, He S, Han M, Parizi RM, Srivastava G (2020) Budget feasible roadside unit allocation mechanism in vehicular ad-hoc networks. In: 2020 IEEE 91st vehicular technology conference (VTC2020-Spring). IEEE, pp 1–5

  • Xu X, Shen B, Ding S, Srivastava G, Bilal M, Khosravi MR, Menon VG, Jan MA, Maoli W (2020) Service offloading with deep q-network for digital twinning empowered internet of vehicles in edge computing. IEEE Trans Ind Inform

  • Yin B, Wu Y, Hu T, Dong J, Jiang Z (2019) An efficient collaboration and incentive mechanism for internet of vehicles (iov) with secured information exchange based on blockchains. IEEE Internet Things J 7(3):1582–1593

    Article  Google Scholar 

  • Zhang F, Thiyagalingam J, Kirubarajan T, Xu S (2019) Speed-adaptive multi-copy routing for vehicular delay tolerant networks. Futur Gener Comput Syst 94:392–407

    Article  Google Scholar 

Download references

Acknowledgements

We thank the anonymous referees for their useful suggestions.

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Contributions

All authors contributed to the study conception and design. Material preparation, data collection, and analysis were performed by Amit Kumar Singh. The first draft of the manuscript was written by Amit Kumar Singh, and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

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Correspondence to Gautam Srivastava.

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The authors declare that they have no conflict of interest.

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This article does not contain any studies with human participants or animals performed by any of the authors.

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Communicated by Vicente Garcia Diaz.

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Singh, A.K., Pamula, R., Jain, P.K. et al. An efficient vehicular-relay selection scheme for vehicular communication. Soft Comput 27, 3443–3459 (2023). https://doi.org/10.1007/s00500-021-06106-4

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  • DOI: https://doi.org/10.1007/s00500-021-06106-4

Keywords

  • Intelligent relay selection
  • The best-choice problem
  • Opportunistic network
  • Vehicular networks
  • Delay-tolerant networks