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A Dynamic Routing for External Communication in Self-driving Vehicles

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Advances in Cybersecurity, Cybercrimes, and Smart Emerging Technologies (CCSET 2022)

Abstract

Vehicular ad hoc networks (VANETs) are considered as a modification of mobile ad hoc networks (MANETs). They provide wireless ad hoc communication between vehicles and vehicle to roadside equipment. VANET provides an automated, safe, and secure traffic system. Several types of routing protocols have been modified for automated traffic. Many previous protocols such as Ad Hoc On-demand Distance Vector routing (AODV) have shown some weakness in performance. In this paper, a Dynamic AODV (DAODV) routing protocol is proposed that can adapt to various types of mobility and traffic scenarios, such as highway, rural and urban. AODV routing protocol is enhanced by designing a cooperative virtual bridge between vehicles and the nearest Road Side Unit (RSUs) to provide more than one path between the source and destination cars. This work was tested for thirty rounds. In each round, the cooperative routing protocol generated ten various paths between two nodes. In these cases, each RSU finds all available paths between nodes simultaneously. This protocol will have the ability to provide more than one path and reduce the possibility of packet loss between nodes. Simulation results prove that DAODV can improve the communication performance between self-driving and semi self-driving vehicles.

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References

  1. Saha S, Roy U, Sinha D (2014) AODV routing protocol modification with dqueue (dqAODV) for VANET in city scenarios ICHPCA. ICHPCA, Bhubaneswar India, pp 1–6

    Google Scholar 

  2. Perkins CE, Royer EM (1999) Ad-hoc on-demand distance vector routing. In: Proc. WMCSA’99. NY, USA, pp 90–100

    Google Scholar 

  3. Abd N, Alheeti KMA, Al-Rawi SS (2020) Intelligent intrusion detection system in internal communication systems for driverless cars. Webol J 17(2):376–393

    Article  Google Scholar 

  4. Goyal S (2015) A comparative performance analysis of AODV and DSR routing protocols for vehicular Ad-hoc networks (VANETs). Inter J Adv Res Comp Eng Technol (IJARCET) 4(4):1607–1613

    Google Scholar 

  5. Kim C, Talipov E, Ahn B (2006) A reverse AODV routing protocol in ad hoc mobile networks. In: Inter conf. on embedded and ubiquitous computing. Berlin, Heidelberg, pp 522–531

    Google Scholar 

  6. Chakeres ID, Belding-Royer EM (2004) AODV routing protocol implementation design. In: Proceedings of the International Conference on Distributed Computing Systems. Tokyo, Japan, pp 698–703

    Google Scholar 

  7. Moussaoui B, Djahel S, Khelifi H, Merniz S (2015) Towards enhanced reactive routing in urban vehicular Ad hoc networks. In: Inter. Conf. on Prot. Engineering (ICPE) and Intern. Conf. on New Technologies of Dist. Syst. (NTDS). Paris, France, pp 1–6

    Google Scholar 

  8. Ding B, Chen Z, Wang Y, Yu H (2011) An improved AODV routing protocol for VANETs. In: Inter. Conf. on Wireless Comm. and Signal Processing (WCSP). Nanjing, China, pp 1–5

    Google Scholar 

  9. Ebadinezhad S (2021) Design and analysis of an improved AODV protocol based on clustering approach for the internet of vehicles (AODV-CD). Int J Electron Telecommun 67(1):13–22

    Google Scholar 

  10. Aswathy MC, Tripti C (2012) An enhancement to AODV protocol for efficient routing in VANET–A cluster-based approach. Adv Intell Soft Comput 167(2):1027–1032

    Google Scholar 

  11. Abedi O, Fathy M, Taghiloo J (2008) Enhancing AODV routing protocol using mobility parameters in VANET. In: International conference on computer systems and applications. Doha, Qatar, pp 229 235

    Google Scholar 

  12. Mubarek FS, Aliesawi SA, Alheeti KMA, Alfahad NM (2018) Urban-AODV: an improved AODV protocol for vehicular ad-hoc networks in the urban environment. Int J Eng Technol 7(4):3030–3036

    Google Scholar 

  13. Keshavarz H, Noor RM, Mostajeran E (2013) Using routing table flag to improve performance of AODV routing protocol for VANETs environment. Adv Intell Syst Comput 209(3):73–82

    Google Scholar 

  14. Raju S (2015) Performance improvement in VANET by modifying AODV routing protocol. Comp Eng Intell Syst 6(5):92–99

    Google Scholar 

  15. Malik S, Sahu PK (2019) A comparative study on routing protocols for VANETs. ScienceDirect Heliyon 5(8):e02340

    Google Scholar 

  16. Zhang W, Xiao X, Wang J, Lu P (2018) An improved AODV routing protocol based on social relationship mining for VANET. In: International Conference on Communication and Information Processing. ACM Qingdao, China, pp 217–221

    Google Scholar 

  17. Al-Shabi MA (2020) Evaluation the performance of MAODV and AODV protocols in VANETs models. Int J Comput Sci Secur 14(1):1

    MathSciNet  Google Scholar 

  18. Smiri S (2020) Performance analysis of routing protocols with roadside unit infrastructure in a vehicular Ad Hoc network. Int J Comput Netw Commun 12(4)

    Google Scholar 

  19. Khairnar M, Vaishali D, Kotecha D (2013) Simulation-based performance evaluation of routing protocols in vehicular Ad-hoc network. Int J Sci Res Publ 3(10)

    Google Scholar 

  20. Ali Alheeti KM, Al-ani MS, McDonald-Maier K (2018) A hierarchical detection method in external communication for self-driving vehicles based on TDMA. PLOS One 13(1):1–19

    Google Scholar 

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The authors declare that they have no conflicts of interest to report regarding the present study.

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Correspondence to Khattab M. Ali Alheeti .

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Ali Alheeti, K.M., Al Dosary, D. (2023). A Dynamic Routing for External Communication in Self-driving Vehicles. In: Abd El-Latif, A.A., Maleh, Y., Mazurczyk, W., ELAffendi, M., I. Alkanhal, M. (eds) Advances in Cybersecurity, Cybercrimes, and Smart Emerging Technologies. CCSET 2022. Engineering Cyber-Physical Systems and Critical Infrastructures, vol 4. Springer, Cham. https://doi.org/10.1007/978-3-031-21101-0_15

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