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A Stable Link Based Zone Routing Protocol (SL-ZRP) for Internet of Vehicles Environment

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Abstract

The recent evolution in wireless technologies has brought a new notion called Internet of Things (IoT), in which all objects can communicate to each other. Internet of Vehicles (IoV) is a part of IoT, where vehicles are the interactive members of the network. These last years, IoV domain has attracted the attention of researchers and has become one of the most addressed research fields in networking systems according to their impact on human life. Routing protocols are becoming the most treated issue in IoV because of their essential role to set a solid interaction between vehicles. Proposing a robust routing protocol plays an essential role in resolving several driving and traffic problems. To fitly support multimedia applications and efficiently update road information, it would be important that a network can provide a convenient Quality of Service (QoS). Therefore, a robust IoV routing protocol should supply the best response time to the requested vehicles without causing extra load in the network as this may drive to harmful results, especially in emergency circumstances. Zone Routing Protocol (ZRP) is a hybrid routing protocol in which every node updates routing information about its routing area proactively, while it uses a reactive method in order to get routes to destination outside its routing zone. In this work, we propose a Stable Link based Zone Routing Protocol (SL-ZRP), which is an enhancement of Zone Routing Protocol in order to ensure link stability in IoV applications using QoS function based on speed, destination and delay to find the stable routes which in turn reduce the response time and network overhead. We evaluate the performance of SL-ZRP with various appropriate performance metrics. Furthermore, SL-ZRP and ZRP performances are compared regarding Packets Delivery Ratio, Network Overhead and End-to-End Delay metrics.

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References

  1. Perkins, C. E., & Bhagwat, P. (1994). Highly dynamic destination sequence-vector routing (DSDV) for mobile computers. Computer Communication Review,24, 234–244.

    Article  Google Scholar 

  2. Jacquet, P., Muhlethaler, P., Clausen, T., Laouiti, A., Qayyum, A., Viennot, L. (2001). Optimized link state routing protocol for ad hoc networks (OLSR). In Proceedings IEEE international multi topic conference, IEEE INMIC 2001, Pakistan.

  3. Johnson, D. B., Maltz, D. A., & Broch, J. (2001). DSR: The dynamic source routing protocol for multi-hop wireless ad-hoc networks. Journal on Ad-Hoc Networks,5(1), 139–172.

    Google Scholar 

  4. Perkins, C. E., Royer, E. M. (1999). Ad hoc on-demand distance vector routing. In 2nd IEEE workshop on mobile computing systems and applications, pp 90–100.

  5. Beijar, N. (2002). Zone routing protocol (ZRP). Networking Laboratory, Helsinki University of Technology, Finland,9, 1–12.

    Google Scholar 

  6. Contreras-Castillo, J., Zeadally, S., & Guerrero-Ibaez, J. (2018). Internet of vehicles: Architecture, protocols, and security. IEEE Internet of Things Journal,5, 3701–3709.

    Article  Google Scholar 

  7. Kaiwartya, O., Abdullah, A., Cao, Y., Altameem, A., Prasad, M., Lin, C., et al. (2016). Internet of vehicles: Motivation layered architecture network model challenges and future aspects. IEEE Access,4, 5356–5373.

    Article  Google Scholar 

  8. Gerla, M., Lee, E., Pau, G., & Lee, U. (2014). Internet of vehicles: From intelligent grid to autonomous cars and vehicular clouds. In IEEE World Forum on Internet of Things (WF-IoT), Seoul, South Korea.

  9. Zhao, J., Wu, Z., Wang, Y., & Ma, X. (2019). Adaptive optimization of QoS constraint transmission capacity of VANET. Vehicular Communications,17, 1–9.

    Article  Google Scholar 

  10. Ram, A., et al. (2017). Mobility adaptive density connected clustering approach in vehicular adhoc networks. International Journal of Communication Networks and Information Security,9(2), 222.

    Google Scholar 

  11. Khan, M. F., Aadil, F., Maqsood, M., Bukhari, S. H. R., Hussain, M., & Nam, Y. (2019). Moth flame clustering algorithm for internet of vehicle (MFCA-IoV). IEEE Access,7, 11613–11629.

    Article  Google Scholar 

  12. Yélémou, T., Meseure, P., Poussard, A. (2012). Improving ZRP performance by taking into account quality of links. In IEEE wireless communications and networking conference (WCNC), China.

  13. Sun, S., Kim, J., Jung, Y., Kim, K. (2009). Zone-based greedy perimeter stateless routing for VANET. In International conference on information networking, pp 1–3.

  14. Karp, B., & Kung, H. T. (2000). GPSR: Greedy perimeter stateless routing for wireless networks. In 6th annual international conference on mobile computing and networking (MobiCom), pp. 243–254.

  15. Zhao, T, & Liu, Q. (2011). An enhanced routing mechanism based on ZRP in ad hoc networks. In International communication conference on wireless mobile and computing (CCWMC), pp. 468–471.

  16. Selvi, S. A., & Vijayaraj, A. (2016). Increasing quality of service in video traffic using zone routing protocol in wireless networks. In World conference on futuristic trends in research and innovation for social welfare, pp 1–5.

  17. Lv, X., Le, X., Ding, K. (2017). An improved cluster routing algorithm based on ZRP. In Protocol 10th international conference, WiCON 2017, Tianjin, China.

  18. Behrisch, M., Bieker, L. et al. (2011). SUMO—simulation of urban mobility: an overview.

  19. Karnadi, F. K., Mo, Z. H., Lan, K. C. (2007). Rapid generation of realistic mobility models for VANET. In Proceedings of IEEE wireless communications and networking conference, pp. 2506–2511, Hong Kong.

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Authors and Affiliations

  1. Faculty of Sciences, LRSD Laboratory, Ferhat Abbas University Setif 1, Setif, Algeria

    Rim Gasmi & Makhlouf Aliouat

  2. LIRIS, CNRS Lyon 1, University of Lyon, Lyon, France

    Hamida Seba

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  1. Rim Gasmi
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  2. Makhlouf Aliouat
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  3. Hamida Seba
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Correspondence to Rim Gasmi.

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Gasmi, R., Aliouat, M. & Seba, H. A Stable Link Based Zone Routing Protocol (SL-ZRP) for Internet of Vehicles Environment. Wireless Pers Commun 112, 1045–1060 (2020). https://doi.org/10.1007/s11277-020-07090-y

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