Novel Routing Protocol Reduce End to End Delay by Introducing the Delay Computation Table Mobile Adhoc Network

International Journal of Electronics and Communication Engineering

© 2024 by SSRG - IJECE Journal

Volume 11 Issue 5

Year of Publication : 2024

Authors : S. Hemalatha, Komala C R, Khadri Syed Faizz Ahmad, R.V.V. Krishna, S.Muruganandam, N. Muthuvairavan Pillai, Ponnuru Anusha, Monica Gunjal

10.14445/23488549/IJECE-V11I5P112

How to Cite?

S. Hemalatha, Komala C R, Khadri Syed Faizz Ahmad, R.V.V. Krishna, S.Muruganandam, N. Muthuvairavan Pillai, Ponnuru Anusha, Monica Gunjal, "Novel Routing Protocol Reduce End to End Delay by Introducing the Delay Computation Table Mobile Adhoc Network," SSRG International Journal of Electronics and Communication Engineering, vol. 11,  no. 5, pp. 115-122, 2024. Crossref, https://doi.org/10.14445/23488549/IJECE-V11I5P112

Abstract:

In the Mobile Adhoc Network, the most predominant parameter is End to End Delay which supports the network performance as well as efficiency of the communication. Many studies have been conducted to overcome packet delay in nodes by designing routing protocols using cutting-edge approaches, but the research has not progressed. Existing routing strategies select paths by dynamically manipulating various parameters, which adds overhead to the routing protocol.  This article focuses on developing a new strategy for overcoming packet delay in Mobile Adhoc Networks with the use of a delay table and delay calculation nodes. The simulation was performed using NS2.34, and the results were compared to AODV in terms of performance metrics such as PDR, END and throughput, revealing that the proposed work achieved a PDR of 90% to 98%. In contrast, normal AODV had a packet delivery ratio of 70% to 90%. End-to-end delay was 0.083 to 0.77%, compared to the old routing protocol AODV's delay of 0.186 to 1.08ms, and throughput was 94 to 99% higher.

Keywords:

Delay table, Delay computation nodes, Delay rectification, End to End delay, MANET.

References:

[1] Ijteba Sultana, Mohd Abdul Bari, and S. Sanjay, “Routing Performance Analysis of Infrastructure-Less Wireless Networks with Intermediate Bottleneck Nodes,” International Journal of Intelligent Systems and Applications in Engineering, vol. 12, no. 3S, pp. 17-30, 2024.
[Google Scholar] [Publisher Link]
[2] Chetana Hemant Nemade, and Uma Pujeri, “Comparative Study and Performance Analysis of MANET Routing Protocol,” International Journal of Electrical and Computer Engineering Systems, vol. 14, no. 2, pp. 145-154, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[3] S. Harihara Gopalan et al., “Fuzzified Swarm Intelligence Framework Using FPSOR Algorithm for High-Speed MANET- Internet of Things (IoT),” Measurement: Sensors, vol. 31, pp. 1-8, 2024.
[CrossRef] [Google Scholar] [Publisher Link]
[4] G. Balu Narasimha Rao, and Asesh Kumar Tripathy, “Energy Aware Routing through Genetic Algorithm and AOMDV in MANET,” International Journal of Intelligent Systems and Applications in Engineering, vol. 12, no. 8S, pp. 435-441, 2023.
[Google Scholar] [Publisher Link]
[5] Mohan Patsariya, and Anand Rajavat, “A Progressive Design of MANET Security Protocol for Reliable and Secure Communication,” International Journal of Intelligent Systems and Applications in Engineering, vol. 12, no. 9S, pp. 190-204, 2023.
[Google Scholar] [Publisher Link]
[6] Jayant Y. Hande, and Ritesh Sadiwala, “Optimization of Energy Consumption and Routing in MANET using Artificial Neural Network,” Journal of Integrated Science and Technology, vol. 12, no. 1, pp. 1-7, 2024.
[Google Scholar] [Publisher Link]
[7] N. Sivapriya, R. Mohandas, and Karthik Kumar Vaigandla, “A QoS Perception Routing Protocol for MANETs Based on Machine Learning,” International Journal of Intelligent Systems and Applications in Engineering, vol. 12, no. 1, pp. 733-745, 2024.
[Google Scholar] [Publisher Link]
[8] Sayan Majumder, Debika Bhattacharyya, and Subhalaxmi Chakraborty, “Mitigation of Wormhole Attack in MANET Using CrypticAODV: A Modified Routing Protocol,” International Journal of Intelligent Systems and Applications in Engineering, vol. 12, no. 1, pp. 619-627, 2024.
[Google Scholar] [Publisher Link]
[9] Versha Matre, and Pradnya A. Vikhar, “Routing Selection Policy on Mobile Ad-Hoc Network using Trust based Mechanism through AODV Routing Protocol,” International Journal of Intelligent Systems and Applications in Engineering, vol. 1, no. 8S, pp. 683-694, 2024.
[Google Scholar] [Publisher Link]
[10] V. Purushothaman et al., “Fuzzy C-Means Clustering Based Energy-Efficient Protected Optimal Path-Routing Protocol for MANET,” International Journal of Intelligent Systems and Applications in Engineering, vol. 12, no. 2S, pp. 453-466, 2024.
[Google Scholar] [Publisher Link]
[11] Y. Sangeetha, and Resmi G. Nair, “Hybrid Cryptographic Routing Algorithm for Implementation of Secure Routing in MANET’s,” International Journal of Intelligent Systems and Applications in Engineering, vol. 12, no. 3S, pp. 202-208, 2024.
[Google Scholar] [Publisher Link]
[12] Advin Manhar, and Deepak Dembla, “Improved Hybrid Routing Protocol (IHRP) in MANETs Based on Situation Based Adaptive Routing,” International Journal of Electrical and Electronics Research, vol. 11, no. 1, pp. 15-24, 2023.
[Google Scholar] [Publisher Link]
[13] Joonsu Ryu, and Sungwook Kim, “Reputation-Based Opportunistic Routing Protocol Using Q-Learning for MANET Attacked by Malicious Nodes,” IEEE Access, vol. 11, pp. 47701-47711, 2023.
[CrossRef] [Google Scholar] [Publisher Link]