Selective Hopping and Stable Path Integration to Boost AODV's Message Delivery Assurance

Authors

  • Pratik Kanani Dwarkadas J. Sanghvi College of Engineering, Mumbai, India Author https://orcid.org/0000-0002-6848-2507
  • Neel Kothari Dwarkadas J. Sanghvi College of Engineering, Mumbai, India Author https://orcid.org/0000-0001-8336-4800
  • Lakshmi Kurup Dwarkadas J. Sanghvi College of Engineering, Mumbai, India Author
  • Deepali Patil Dwarkadas J. Sanghvi College of Engineering, Mumbai, India Author
  • Darshana Sankhe Dwarkadas J. Sanghvi College of Engineering, Mumbai, India Author
  • Gayatri Pandya Dwarkadas J. Sanghvi College of Engineering, Mumbai, India Author https://orcid.org/0009-0000-7135-0559

DOI:

https://doi.org/10.54392/irjmt2533

Keywords:

AODV protocol, Jamming, Quality of Service, Routing, VANET, Selective Hopping, Stable Route

Abstract

In addition to carrying communications, Vehicular Ad-hoc Networks can be utilized to transfer vital information across nodes in the network, potentially averting disastrous losses. By following the established standards, this vital information is transmitted by moving cars on the road in conjunction with parked cars. In this case, the communication is forwarded via a mediator known as a "roadside unit." The Ad-hoc On-Demand Distance Vector (AODV) routing protocol is one of the finest for such a wireless environment because it can tolerate variations in vehicle density and speed. Though it performs better than other comparable protocols, the AODV routing protocol does not show much promise when it comes to unreachable nodes, unstable forwarding paths, broadcasting storms, and short connection lifetimes. In order to improve efficiency, this research paper suggests adding multiple Road Side Units, modifying the conventional AODV routing protocol by adding selective hopping and the Delay Minimization Problem. To confirm the usefulness of the suggested model in terms of propagation delay, transmission loss, network lifetime, etc., it is also simulated. The findings gained support the superiority of the suggested strategy, laying the groundwork for its wider implementation.

References

Q.G.K. Safi, S. Luo, L. Pan, W. Liu, R. Hussain, S.H. Bouk, SVPS: Cloud-based smart vehicle parking system over ubiquitous VANETs. Computer Networks, 138, (2018) 18-30. https://doi.org/10.1016/j.comnet.2018.03.034

A.M.I. Yura, S.S. Newaz, F.H. Rahman, T.W. Au, G.M. Lee, T.W. Um, Evaluating TCP performance of routing protocols for traffic exchange in street-parked vehicles based fog computing infrastructure. Journal of Cloud Computing, 9(18), (2020) 1-20. https://doi.org/10.1186/s13677-020-00159-w

A. Gupta, R. Singh, D. Ather, R.S. Shukla, (2016) Comparison of various routing algorithms for VANETS. In 2016 international conference system modeling & advancement in research trends (SMART), IEEE, India. https://doi.org/10.1109/SYSMART.2016.7894509

T. Yeferny, S. Allani, MPC: A RSUs deployment strategy for VANET. International Journal of Communication Systems, 31(12), (2018) e3712. https://doi.org/10.1002/dac.3712

S.B. Raut, L.G. Malik, (2014) Survey on vehicle collision prediction in VANET. In 2014 IEEE International conference on computational intelligence and computing research, IEEE, India. https://doi.org/10.1109/ICCIC.2014.7238552

M. Yannuzzi, R. Milito, R. Serral-Gracià, D. Montero and M. Nemirovsky, Key ingredients in an IoT recipe: Fog Computing, Cloud computing, and more Fog Computing, 2014 IEEE 19th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD), Athens, Greece, 2014, 325-329. https://doi.org/10.1109/CAMAD.2014.7033259

C.C. Byers, Architectural imperatives for fog computing: Use cases, requirements, and architectural techniques for fog-enabled iot networks. IEEE Communications Magazine, 55(8), (2017) 14-20. https://doi.org/10.1109/MCOM.2017.1600885

P.K. Maurya, G. Sharma, V. Sahu, A. Roberts, M. Srivastava, M.T. Scholar, (2012). An overview of AODV routing protocol. International Journal of Modern Engineering Research (IJMER), 2(3), 728-732.

Y.C. Tseng, S.Y. Ni, Y.S. Chen, J.P.Sheu, The broadcast storm problem in a mobile ad hoc network. Wireless networks, 8, (2002) 153-167. https://doi.org/10.1023/A:1013763825347

H. Yu, R. Liu, Z. Li, Y. Ren, H. Jiang, An RSU deployment strategy based on traffic demand in vehicular ad hoc networks (VANETs). IEEE Internet of Things Journal, 9(9), (2021) 6496-6505 https://doi.org/10.1109/JIOT.2021.3111048

S.I. Sou, O.K. Tonguz, Enhancing VANET connectivity through roadside units on highways. IEEE transactions on vehicular technology, 60(8), (2011) 3586-3602. https://doi.org/10.1109/TVT.2011.2165739

W.S. Atoui, W. Ajib, M. Boukadoum, Offline and online scheduling algorithms for energy harvesting RSUs in VANETs. IEEE Transactions on Vehicular Technology, 67(7), (2018) 6370-6382. https://doi.org/10.1109/TVT.2018.2797002

M. Sindhwani, R. Singh, A. Sachdeva, C. Singh, Improvisation of optimization technique and AODV routing protocol in VANET. Materials Today: Proceedings, 49, (2022) 3457-3461. https://doi.org/10.1016/j.matpr.2021.03.727

N.I. Abbas, M. Ilkan, E. Ozen, Fuzzy approach to improving route stability of the AODV routing protocol. EURASIP Journal on Wireless Communications and Networking, 2015, (2015) 1-11. https://doi.org/10.1186/s13638-015-0464-5

M. Atto, R.J. Mstafa, A. Alkhayyat, Improving AODV routing protocol for image transmission over mobile video sensor networks. IEEE Access, 8, (2020) 169396-169407. https://doi.org/10.1109/ACCESS.2020.3024093

M.H. Hassan, S.A. Mostafa, M.A. Mohammed, D.A. Ibrahim, B.A. Khalaf, A.S. Al-Khaleefa, Integrating African Buffalo optimization algorithm in AODV routing protocol for improving the QoS of MANET. Journal of Southwest Jiaotong University, 54(3), (2019).

M. Adil, H. Song, J. Ali, M.A.Jan, M. Attique, S. Abbas, A. Farouk, Enhanced-AODV: A robust three phase priority-based traffic load balancing scheme for internet of things. IEEE Internet of Things Journal, 9(16), (2021) 14426-14437. https://doi.org/10.1109/JIOT.2021.3072984

E. Kulla, S. Morita, K. Katayama, L. Barolli, (2019) Route Lifetime Prediction Method in VANET by Using AODV Routing Protocol (AODV-LP). Complex, Intelligent, and Software Intensive Systems. CISIS 2018. Advances in Intelligent Systems and Computing, Springer, Cham. https://doi.org/10.1007/978-3-319-93659-8_1

D. Sinwar, N. Sharma, S.K. Maakar, S. Kumar, Analysis and comparison of ant colony optimization algorithm with DSDV, AODV, and AOMDV based on shortest path in MANET. Journal of Information and Optimization Sciences, 41(2), (2020) 621-632. https://doi.org/10.1080/02522667.2020.1733193

A. Kumar, V. Varadarajan, A. Kumar, P. Dadheech, S.S. Choudhary, V.A. Kumar, B.K. Panigrahi, K.C. Veluvolu, Black hole attack detection in vehicular ad-hoc network using secure AODV routing algorithm. Microprocessors and Microsystems, 80, (2021) 103352. https://doi.org/10.1016/j.micpro.2020.103352

Y. Kim, J. Lee, A secure analysis of vehicular authentication security scheme of RSUs in VANET. Journal of Computer Virology and Hacking Techniques, 12, (2016) 145-150. https://doi.org/10.1007/s11416-016-0269-z

M. Adil, R. Khan, M.A. Almaiah, M. Al-Zahrani, M. Zakarya, M.S. Amjad, R. Ahmed, MAC-AODV based mutual authentication scheme for constraint oriented networks. IEEE Access, 8, (2020) 44459-44469. https://doi.org/10.1109/ACCESS.2020.2978303

E.A. Feukeu, T. Zuva, (2017) Mitigation of a broadcast storm problem in a vehicular ad hoc network (VANETs). In 2017 IEEE International Symposium on Parallel and Distributed Processing with Applications and 2017 IEEE International Conference on Ubiquitous Computing and Communications (ISPA/IUCC), IEEE, China. https://doi.org/10.1109/ISPA/IUCC.2017.00197

D. Kumar, A.A. Kherani, E. Altman, (2006) Route lifetime based optimal hop selection in VANETs on highway: an analytical viewpoint. In Networking 2006. Networking Technologies, Services, and Protocols; Performance of Computer and Com Morita munication Networks; Mobile and Wireless Communications Systems: 5th International IFIP-TC6 Networking Conference, Coimbra, Portugal, Springer Berlin Heidelberg. https://doi.org/10.1007/11753810_67

Z. Ahmed, S. Naz, J. Ahmed, Minimizing transmission delays in vehicular ad hoc networks by optimized placement of road-side unit. Wireless Networks, 26(4), (2020) 2905-2914. https://doi.org/10.1007/s11276-019-02198-x

S. Deepika, N. Nishanth, A. Mujeeb, (2021) An assessment of recent advances in AODV routing protocol path optimization algorithms for mobile ad hoc networks. In 2021 Fourth International Conference on Microelectronics, Signals & Systems (ICMSS), IEEE, India. https://doi.org/10.1109/ICMSS53060.2021.9673632

T.K. Saini, S.C. Sharma, Recent advancements, review analysis, and extensions of the AODV with the illustration of the applied concept. Ad Hoc Networks, 103, (2020) 102148. https://doi.org/10.1016/j.adhoc.2020.102148

Y. Yan, A. Shang, B. Chen, Z. Han, Q. Zhang, (2019) AODV Protocol Improvement Based on Path Load and Stability. In International Conference on Data Service, Singapore: Springer Singapore. https://doi.org/10.1007/978-981-15-2810-1_58

M. Deepa, P. Krishna Priya, S. Sivakumar, QoS-enabled optimized adaptive multipath AODV protocol. SN Computer Science, 1(2), (2020) 99. https://doi.org/10.1007/s42979-020-0100-2

L.H. Binh, T.V.T. Duong, An improved method of AODV routing protocol using reinforcement learning for ensuring QoS in 5G-based mobile ad-hoc networks. ICT Express, 10(1), (2023) 97-103. https://doi.org/10.1016/j.icte.2023.07.002

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Published

2025-04-12

How to Cite

1.
Kanani P, Kothari N, Kurup L, Patil D, Sankhe D, Pandya G. Selective Hopping and Stable Path Integration to Boost AODV’s Message Delivery Assurance. Int. Res. J. multidiscip. Technovation [Internet]. 2025 Apr. 12 [cited 2025 Sep. 11];7(3):27-41. Available from: https://asianrepo.org/index.php/irjmt/article/view/139