THE PERFORMANCE ANALYSIS OF REACTIVE AND PROACTIVE ROUTING PROTOCOLS FOR V2V COMMUNICATION IN DYNAMIC TRAFFIC SIMULATION

  • Ketut Bayu Yogha Bintoro Departement of Informatics Engineering Faculty of Sciences, Technology and Design, Trilogi University, Indonesia
  • Ade Syahputra Departement of Informatics Engineering Faculty of Sciences, Technology and Design, Trilogi University, Indonesia
  • Akmal Hadi Rismanto Departement of Informatics Engineering Faculty of Sciences, Technology and Design, Trilogi University, Indonesia
  • Michael Marchenko Departement of Physics, Electronics and Computer System, Dnipro National Univesity, Dnipropetrovsk, Oblast, Ukraine
Keywords: V2V Communication, QoS, Reactive routing protocol, AODV, LA-AODV, DSDV

Abstract

The research problem addressed in this study arises from the urgent need to enhance Vehicle-to-Vehicle (V2V) communication in dynamic traffic scenarios. V2V communication is a critical component of intelligent transportation systems aimed at improving traffic safety and efficiency. However, existing routing protocols exhibit varying performance under different traffic conditions, such as free flow, steady flow, and congestion. Consequently, a comprehensive comparison is necessary to evaluate the effectiveness of three routing protocols—AODV, LA-AODV, and DSDV—in dynamic V2V scenarios. This research aims to address this problem by simulating realistic traffic conditions and evaluating the Quality of Service (QoS) of each protocol using metrics such as Packet Delivery Ratio (PDR), Packet Loss Ratio (PLR), Throughput, End-to-End Delay, and Jitter. The findings indicate that LA-AODV demonstrates superior performance in terms of PDR (up to 4% at 500 seconds), PLR (reaching 95.33% at 500 seconds), and Throughput (reaching 84.81 Kbps at 800 seconds). This makes it an excellent choice for applications prioritizing reliable data transfer. Conversely, AODV exhibits the lowest latency and jitter, with latency (reaching 7.40E+10 ns) and jitter (reaching 1E+10 ns) at 300 and 400 seconds, respectively. AODV is well-suited for real-time V2V communication due to its minimal delay and jitter. DSDV, while minimizing control overhead, performs less favorably in other metrics. Consequently, AODV emerges as the preferred option for real-time V2V communication. LA-AODV excels in scenarios emphasizing data delivery and high throughput. DSDV may find relevance in security-sensitive applications where minimizing control traffic is crucial.

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References

M. El Zorkany, A. Yasser, and A. I. Galal, “Vehicle To Vehicle ‘V2V’ Communication: Scope, Importance, Challenges, Research Directions and Future,” Open Transp. J., vol. 14, no. 1, pp. 86–98, 2020, doi: 10.2174/1874447802014010086.

X. Liu, B. S. Amour, and A. Jaekel, “A Reinforcement Learning-Based Congestion Control Approach for V2V Communication in VANET,” Appl. Sci., vol. 13, no. 6, pp. 2–21, 2023, doi: 10.3390/app13063640.

K. B. Y. Bintoro and T. K. Priyambodo, “Learning Automata-Based AODV to Improve V2V Communication in A Dynamic Traffic Simulation,” Int. J. Intell. Eng. Syst., vol. 17, no. 1, pp. 666–678, 2024, doi: 10.22266/ijies2024.0229.56.

P. Sarao and M. Sharma, “Reactive and Proactive Route Evaluation in MANET,” J. Commun., vol. 17, no. 2, pp. 143–149, 2022, doi: 10.12720/jcm.17.2.143-149.

A. M. Bamhdi, “Efficient dynamic-power AODV routing protocol based on node density,” Comput. Stand. Interfaces, vol. 70, pp. 2–8, Jun. 2020, doi: 10.1016/j.csi.2019.103406.

X. Tan, Z. Zuo, S. Su, X. Guo, and X. Sun, “Research of security routing protocol for UAV communication network based on AODV,” Electron., vol. 9, no. 8, pp. 1–18, 2020, doi: 10.3390/electronics9081185.

A. Bhatia et al., “Networked control system with MANET communication and AODV routing,” Heliyon, vol. 8, no. 11, p. e11678, 2022, doi: 10.1016/j.heliyon.2022.e11678.

N. Basil, S. H. Ahammad, and E. E. Elsayed, “Enhancing wireless subscriber performance through AODV routing protocol in simulated mobile Ad-hoc networks,” vol. 3, no. 1, pp. 16–26, 2024, [Online]. Available: https://publish.mersin.edu.tr/index.php/enap/article/view/1346

S. Salah, R. Zaghal, and M. Abdeljawad, “A Mathematical-Based Model for Estimating the Path Duration of the DSDV Routing Protocol in MANETs,” J. Sens. Actuator Networks, vol. 11, no. 2, pp. 2–18, 2022, doi: 10.3390/jsan11020023.

E. Safrianti, L. O. Sari, and F. Saputri, “Performance Analysis Of DSDV, AOMDV and ZRP Routing Protocols Application Simulation In Pekanbaru Vehicular Ad Hoc Network (VANET),” Bul. Pos dan Telekomun., vol. 18, no. 2, pp. 127–144, 2020, doi: 10.17933/bpostel.2020.180204.

J. J. Garcia-Luna-Aceves and D. J. Cirimelli-Low, “Simple and Efficient Loop-Free Multipath Routing in Wireless Networks,” 2023, pp. 47–56. doi: 10.1145/3616388.3617521.

F. Tabbana, “Performance Analysis of AODV, DSDV and ZRP Routing Protocols for Wireless Sensor Networks using NS2 Tool,” 2020, pp. 279–297. doi: 10.5121/csit.2020.100525.

S. S. Mohamed, A. F. I. Abdel-Fatah, and M. A. Mohamed, “Performance evaluation of MANET routing protocols based on QoS and energy parameters,” Int. J. Electr. Comput. Eng., vol. 10, no. 4, pp. 3635–3642, 2020, doi: 10.11591/ijece.v10i4.pp3635-3642.

U. S. Kushwaha, N. Jain, J. Malviya, and M. Dhummerkar, “Comparative Analysis of DSR, AODV, AOMDV and AOMDV-LR in VANET by Increasing the Number of Nodes and Speed,” Indian J. Sci. Technol., vol. 16, no. 14, pp. 1099–1106, 2023, doi: 10.17485/ijst/v16i14.2446.

C. P. S. Cañar, J. J. T. Yépez, and H. M. R. López, “Performance of Reactive Routing Protocols DSR and AODV in Vehicular Ad-Hoc Networks Based on Quality of Service (Qos) Metrics,” Int. J. Eng. Adv. Technol., vol. 9, no. 4, pp. 2033–2039, 2020, doi: 10.35940/ijeat.c6608.049420.

P. Kaushal, M. Khurana, and K. R. Ramkumar, “Comparative analysis of reactive routing protocols for vehicular adhoc network communications,” Bull. Electr. Eng. Informatics, vol. 13, no. 3, pp. 1621–1630, 2024, doi: 10.11591/eei.v13i3.5322.

O. Sbayti, K. Housni, M. H. Hanin, and A. El Makrani, “Comparative study of proactive and reactive routing protocols in vehicular ad-hoc network,” Int. J. Electr. Comput. Eng., vol. 13, no. 5, pp. 5374–5387, 2023, doi: 10.11591/ijece.v13i5.pp5374-5387.

P. K. Shrivastava and L. K. Vishwamitra, “Comparative analysis of proactive and reactive routing protocols in VANET environment,” Meas. Sensors, vol. 16, pp. 2–10, Aug. 2021, doi: 10.1016/j.measen.2021.100051.

Y. Azzoug and A. Boukra, Bio-inspired VANET routing optimization: an overview: A taxonomy of notable VANET routing problems, overview, advancement state, and future perspective under the bio-inspired optimization approaches, vol. 54, no. 2. Springer Netherlands, 2021. doi: 10.1007/s10462-020-09868-9.

J. Naskath, B. Paramasivan, Z. Mustafa, and H. Aldabbas, “Connectivity analysis of V2V communication with discretionary lane changing approach,” J. Supercomput., vol. 78, no. 4, pp. 5526–5546, 2022, doi: 10.1007/s11227-021-04086-8.

S.-Z. Liu and S.-H. Hwang, “Vehicle Anti-collision Warning System Based on V2V Communication Technology,” in 2021 International Conference on Information and Communication Technology Convergence (ICTC), 2021, pp. 1348–1350. doi: 10.1109/ICTC52510.2021.9620948.

A. M. Bamhdi et al., “A Mathematical-Based Model for Estimating the Path Duration of the DSDV Routing Protocol in MANETs,” Int. J. Electr. Comput. Eng., vol. 13, no. 1, p. 100051, Jun. 2020, doi: 10.35940/ijeat.c6608.049420.

A. Al-Ahwal and R. A. Mahmoud, “Performance Evaluation and Discrimination of AODV and AOMDV VANET Routing Protocols Based on RRSE Technique,” Wirel. Pers. Commun., vol. 128, no. 1, pp. 321–344, 2023, doi: 10.1007/s11277-022-09957-8.

G. A. Beletsioti, G. I. Papadimitriou, P. Nicopolitidis, E. Varvarigos, and S. Mavridopoulos, “A Learning-Automata-Based Congestion-Aware Scheme for Energy-Efficient Elastic Optical Networks,” IEEE Access, vol. 8, pp. 101978–101992, 2020, doi: 10.1109/ACCESS.2020.2996279.

M. H. Homaei, S. S. Band, A. Pescape, and A. Mosavi, “DDSLA-RPL: Dynamic Decision System Based on Learning Automata in the RPL Protocol for Achieving QoS,” IEEE Access, vol. 9, pp. 63131–63148, 2021, doi: 10.1109/ACCESS.2021.3075378.

K. Afzal, R. Tariq, F. Aadil, Z. Iqbal, N. Ali, and M. Sajid, “An Optimized and Efficient Routing Protocol Application for IoV,” Math. Probl. Eng., vol. 2021, p. 9977252, 2021, doi: 10.1155/2021/9977252.

Published
2024-10-20
How to Cite
[1]
K. B. Y. Bintoro, A. Syahputra, A. H. Rismanto, and M. Marchenko, “THE PERFORMANCE ANALYSIS OF REACTIVE AND PROACTIVE ROUTING PROTOCOLS FOR V2V COMMUNICATION IN DYNAMIC TRAFFIC SIMULATION”, J. Tek. Inform. (JUTIF), vol. 5, no. 5, pp. 1277-1286, Oct. 2024.