Performance Study of AODV, OLSR, and DSDV Routing Protocols in Mobile AD HOC Networks

Volume: 10 | Issue: 02 | Year 2024 | Subscription
International Journal of Microwave Engineering and Technology
Received Date: 10/05/2024
Acceptance Date: 10/28/2024
Published On: 2024-11-04
First Page: 38
Last Page: 60

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By: Dolly Thakre and Sandeep Awaya

1. Dolly Thakre*, M. Tech Scholar, Department of Electronics and Communication Engineering, UIT Barkatullah University, Bhopal, Madhya Pradesh, India
2. Sandeep Awaya, Associate professor, Department of Electronics and Communication Engineering, UIT Barkatullah University, Bhopal, Madhya Pradesh, India.

Abstract

This study presents a performance evaluation of three prominent routing protocols in mobile ad hoc network: ad-hoc on-demand distance vector, optimized link state routing, and destination-sequenced distance vector. Efficient routing protocols are required to be sustained in dependable communication in mobile ad hoc network due to the dynamic and decentralized nature of the network. Ad hoc on-demand distance vector belongs to the reactive protocol category that creates routes on demand; optimized link state routing and destination-sequenced distance-vector belong to the proactive protocol category that updates routing tables constantly. The protocols are assessed in terms of some critical metrics, such as packet delivery ratio, throughput, and latency, considering different network conditions like changes in node density and simulation area. Running MATLAB simulations draws a comparison among protocols in various scenarios and brings out the strengths of each protocol and their limitations. Ad hoc on-demand distance vector works well in a highly dynamic environment because of the reduction in routing overhead, while optimized link state routing and destination-sequenced distance-vector work fine in rather stable networks where topology changes are not that frequent. The research is beneficial in picking the correct routing protocols to go within mobile ad hoc network configurations. This will help optimize wireless communication in scenarios, such as emergency response, military operations, or even mobile sensor networks.

Keywords: Mobile Ad Hoc Networks (MANETs), AODV, OLSR, DSDV, routing protocols, performance analysis, Packet Delivery Ratio, throughput, latency.

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Citation:

How to cite this article: Dolly Thakre and Sandeep Awaya, Performance Study of AODV, OLSR, and DSDV Routing Protocols in Mobile AD HOC Networks. International Journal of Microwave Engineering and Technology. 2024; 10(02): 38-60p.

How to cite this URL: Dolly Thakre and Sandeep Awaya, Performance Study of AODV, OLSR, and DSDV Routing Protocols in Mobile AD HOC Networks. International Journal of Microwave Engineering and Technology. 2024; 10(02): 38-60p. Available from:https://journalspub.com/publication/ijmet/article=12080
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Refrences:

  1. Das S, Rao RS, Das I, Jain V, Singh N. Cloud computing enabled big-data analytics in wireless ad-hoc networks. CRC Press; 2022.
  2. Agrawal R, Faujdar N, Romero CAT, Sharma O, Abdulsahib GM, Khalaf OI, et al. Classification and comparison of ad hoc networks: a review. Egypt Inform J. 2023;24(1):1–25. doi: https://doi.org/10.1016/j.eij.2022.10.004
  3. Kampitaki DG, Economides AA. Selfishness in mobile ad-hoc networks: a literature review on detection techniques and prevention mechanisms. IEEE Access. 2023. 10.1109/ACCESS.2023.3305262
  4. Pérez RF, Rubio EH, Nogueira DD, Viveros AM. Prototype of MANET Network with Ring Topology for Mobile Devices. In: Advances in Parallel & Distributed Processing, and Applications: Proceedings from PDPTA’20, CSC’20, MSV’20, and GCC’20 2021. pp. 659–65). Springer International Publishing, Cham.
  5. Rajathi LV, Ruba Soundar K. A survey on various MANET protocols. Int J Innov Res Eng Multidiscipl Phys Sci. 2022;10(6):7.
  6. Malik, Kamal, and AnshuBhasin. A survey of mitigation techniques of packet drop attacks in MANET. SSRN Electr J. 2022.
  7. Korir F, Cheruiyot W. A survey on security challenges in the current MANET routing protocols. Glob J Eng Tech Adv. 2022;12(01):078–91.
  8. Ilakkiya N, Rajaram A. Blockchain-assisted secure routing protocol for cluster-based mobile-ad hoc networks. Int J Comp Commun Contr. 2023;18(2). doi: https://doi.org/10.15837/ijccc.2023.2.5144
  9. Khanchandani SK, Barwar NC. A comparative analysis of proactive routing protocols (DSDV, OLSR) & reactive routing protocols (AODV, DSR) in MANET using NS-3. 2024;8(4):11. doi: 10.55041/IJSREM30773
  10. Shafi S, Mounika S, Velliangiri SJPCS. Machine learning and trust based AODV routing protocol to mitigate flooding and blackhole attacks in MANET. Procedia Comp Sci. 2023;218:2309–18. doi: 10.1016/j.procs.2023.01.206
  11. Fragkoulis DG, Kouvakas ND, Koumboulis FN, Georgiou NI. Modelling and modular supervisory control for the AODV routing protocol. AEU-Int J Electr Commun. 2023;169:154761. doi: https://doi.org/10.1016/j.aeue.2023.154761
  12. Affandi FFM, Mahiddin NA, Hashim ADA. MANET performance evaluation for DSDV, DSR and ZRP. Int J Adv Tech Eng Explor,. 2023;10(99):244. doi: http://dx.doi.org/10.19101/IJATEE.2022.10100340
  13. Thuneibat S, Al Sharaa B. Dynamic source routing protocol with transmission control and user datagram protocols. Indones J Electr Eng Comp Sci. 2023;30(1):137–43. doi: 10.11591/ijeecs.v30.i1.pp137–143
  14. Hassan MZ, Hossain MM, Alam SJ. Thof OLSR routing protocol in MANET: a review. Int J Adv Network Appl. 2024;16(1):6275–80.
  15. Meddeb R, Jemili F, Triki B, et al. A deep learning-based intrusion detection approach for mobile ad-hoc network. Soft Comput. 2023;27:9425–39. doi: https://doi.org/10.1007/s00500-023-08324-4
  16. Prasad M, Tripathi S, Dahal K. An intelligent intrusion detection and performance reliability evaluation mechanism in mobile ad-hoc networks. Eng Appl Artif Intell. 2023;119:105760. doi: https://doi.org/10.1016/j.engappai.2022.105760
  17. Krishnamoorthy VK, Izonin I, Subramanian S, Shandilya SK, Velayutham S, Munichamy TR, et al. Energy saving optimization technique-based routing protocol in mobile ad-hoc network with IoT environment. Energies. 2023;16:1385. doi: https:// doi.org/10.3390/en16031385
  18. Singh J, Singh G, Gupta D, Muhammad G, Nauman A. OCI-OLSR: an optimized control interval-optimized link state routing-based efficient routing mechanism for ad-hoc networks. Processes. 2023;11:1419. doi: https://doi.org/10.3390/pr11051419
  19. Wheeb AH, Nordin R, Samah AA, Kanellopoulos D. Performance evaluation of standard and modified OLSR protocols for uncoordinated UAV ad-hoc networks in search and rescue environments. Electronics. 2023;12:1334. doi: https://doi.org/10.3390/ electronics12061334
  20. Bintoro KBY, Priyambodo TK, Sardjono YP. Smart AODV routing protocol strategies based on learning automata to improve V2V communication quality of services in VANET. Kinetik. 2024;9(3):255–66. doi: https://doi.org/10.22219/kinetik.v9i3.1969
  21. Elsayed S, Youssef MI. Performance evaluation of dynamic source routing protocol with variation in transmission power and speed. Int J Electr Comp Eng. 2023;13(2):1795. doi: 10.11591/ijece.v13i2.pp1795–1802

 

 

 

 

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