Intelligent Delay-Sensitive Routing Framework for Enhanced Quality of Service in Mobile Ad Hoc Networks
DOI:
https://doi.org/10.31838/NJAP/08.02.14Keywords:
Mobile Ad hoc network, Quality of service, Routing Protocols, Bandwidth EstimationAbstract
The enhancing of Quality of Service (QoS) in mobile ad-hoc networks is motivated by addressing bandwidth, latency, delay jitter, and packet delivery rate commitments outlined in QoS agreements. The bandwidth-restricted routing for effective delay analysis, particularly beneficial for live applications such as live streaming (video or audio)are explored here. To ensure minimum end-to-end delay in mobile ad-hoc networks, the Ad-hoc On-Demand Distance Vector Routing Protocol has been tailored (MQWAODV). TheModified QoS-Aware Ad-hoc On-Demand Distance Vector Routing Protocol (MQWAODV), is extended as Intelligent Delay-Sensitive Routingto identify the least-congested route while maintaining optimal bandwidth utilization. Furthermore, a QoS-constrained routing protocol is introduced to provide real-time information on available speeds along the route, considering the entire end-to-end communication delays. This research contributes to the development of robust QoS mechanisms for improved mobile ad-hoc network performance.This assesses essential performance metrics like throughput, packet delivery ratio, overheads, and end-to-end delay within the framework of the suggested routing approach. Simulation results clearly emphasize a significant and notable enhancement in Quality of Service (QoS) metrics, credited to the utilization of the advocated communication channel.
References
1. Pandey, P., Singh, R.(2023) QoS based modified route discovery in MANET for multimedia applications. Multimed Tools Appl 82, 29671–29688.
2. Zheng Chen, Wenli Zhou, Shuo Wu, Li Cheng (2021), An on demand load balancing multi-path routing protocol for differentiated services in MWSN, Computer Communications, Volume 179,Pages 296-306,ISSN 0140-3664.
3. Mohsin, A.H. Optimize Routing Protocol Overheads in MANETs (2022). Challenges and Solutions. Wireless Personal Communications 126, 2871–2910.
4. Palani, U., Suresh, K.C. & Nachiappan, A (2019). Mobility prediction in mobile ad hoc networks using eye of coverage approach. Cluster Computing 22, 14991–14998.
5. Nallayam Perumal, M.P., Selvi, C.S.K (2022). Improved Priority Aware Mechanism for Enhancing QoS in MANET. Wireless Personal Communications 122, 277–292.
6. Devi, E.A., Radhika, S. & Chandrasekar, A.(2023) An energy-efficient MANET relay node selection and routing using a fuzzy-based analytic hierarchy process. TelecommunSyst 83, 209–226.
7. Ahirwar, G.K., Agarwal, R. & Pandey, A.(2023) An Extensive Review on QoS Enhancement in MANET Using Meta-Heuristic Algorithms. Wireless Pers Commun 131, 1089–1114
8. S, A., T, S. & N, R.P. (2021)Cross Layer Approach and ANFIS based Optimized Routing in Wireless Multi-Hop Ad Hoc Networks. Wireless Pers Commun 119, 187–209.
9. Vargheese, M., Bhatia, S., Basheer, S., &Dadheech, P. (2023). Improved Multi-Path Routing for QoS on MANET. Computer Systems Science & Engineering, 45(3).
10. Agrawal, S.S., Rathi, R. (2024)Topology Control Using Optimized Clustering Scheme in Mobile Ad Hoc Network. Int J NetwDistribComput 12, 119–130.
11. Praveenkumar, R., Anbukaruppusamy, S. (2022). Greedy Weight Matrix Topological Adaptive Ad Hoc On-demand Multipath Distance Vector Protocol for QoS Improvement in MANET, Wireless Personal Communications, (Vol. 125, no. 2, pp. 1737 – 1751)
12. Abujassar, R.S. (2024). A novel algorithm for the development of a multipath protocol for routing and energy efficient in IoT with varying density. TelecommunSyst .
13. Tamizharasi, S., Arunadevi, B. & Deepa, S.N. (2023). Bio-inspired deep residual neural network learning model for QoS routing enhancement in mobile ad-hoc networks. Wireless Netw 29, 3541–3565.
14. Bagirathan, K., Palanisamy, A. (2022). Opportunistic Routing Protocol Based EPO–BES in MANET for Optimal Path Selection. Wireless Pers Commun 123, 473–494.
15. Muruganandam, S., Renjit, J.A. (2021). Real-time reliable clustering and secure transmission scheme for QoS development in MANET. Peer-to-Peer Netw. Appl. 14, 3502–3517.
16. Peppino Fazio, Miralem Mehic, Miroslav Voznak, Floriano De Rango, Mauro Tropea (2023). A novel predictive approach for mobility activeness in mobile wireless networks, Computer Networks, Volume 226,109689,ISSN 1389-1286.
17. Kaddoura, S., Haraty, R.A., Al Jahdali, S. et al. (2023). SDODV: A smart and adaptive on-demand distance vector routing protocol for MANETs. Peer-to-Peer Netw. Appl. 16, 2325–2348.
18. Kotkar, V.A., Golande, A.L., Deshpande, K.V. et al. (2024). An IoT enabled healthcare framework for arrhythmia detection based on Qos aware trust aided osprey routing protocol and ensemble learning. Multimed Tools Appl 83, 55235–55257.
19. Zheng, W., Yang, M., Zhang, C. et al. (2022). Application-aware QoS routing in SDNs using machine learning techniques. Peer-to-Peer Netw. Appl. 15, 529–548.
20. Rappaport, T (2010). Wireless Communications: Principles and Practice. Prentice Hall.
21. A. Bhardwaj and H. El-Ocla, (2020). Multipath Routing Protocol Using Genetic Algorithm in Mobile Ad Hoc Networks, in IEEE Access, vol. 8, pp. 177534-177548.
22. N. Shah, H. El-Ocla and P. Shah, (2022). Adaptive Routing Protocol in Mobile Ad-Hoc Networks Using Genetic Algorithm, in IEEE Access, vol. 10, pp. 132949-132964.
23. Baseera, A., Kondaveeti, H.K., Gopikrishnan, S. et al.(2023). IEEHR: Improved Energy Efficient Honeycomb Based Routing in MANET for Improving Network Performance and Longevity. Wireless Pers Commun 129, 1753–1769.
24. Arulprakash, P., Kumar, A.S. & Prakash, S.P. (2023).Optimal route and cluster head selection using energy efficient-modified African vulture and modified mayfly in manet. Peer-to-Peer Netw. Appl. 16, 1310–1326.
25. Danilo Tardioli, Domenico Sicignano, José Luis Villarroel (2015). A wireless multi-hop protocol for real-time applications, Computer Communications, Volume 55, ,Pages 4-21,ISSN 0140-3664.
26. F. Safari, H. Kunze, J. Ernst and D. Gillis, (2023). A Novel Cross-Layer Adaptive Fuzzy-Based Ad Hoc On-Demand Distance Vector Routing Protocol for MANETs, in IEEE Access, vol. 11, pp. 50805-50822.
27. K. Chandravanshi, G. Soni and D. K. Mishra, (2022). Design and Analysis of an Energy-Efficient Load Balancing and Bandwidth Aware Adaptive Multipath N-Channel Routing Approach in MANET," in IEEE Access, vol. 10, pp. 110003-110025.
28. Wilder E. Castellanos, Juan C. Guerri, Pau Arce, (2016). A QoS-aware routing protocol with adaptive feedback scheme for video streaming for mobile networks, Computer Communications, Volume 77, Pages 10-25,ISSN 0140-3664.
29. Sultana, Ijteba, Mohd Abdul Bari, and Sanjay Sanjay. (2024). Routing Quality of Service for Multipath Manets." International Journal of Intelligent Systems and Applications in Engineering 12.5s: 08-16.
30. Li, Xiaolin, Xin Bian, and Mingqi Li. (2024). Routing selection algorithm for mobile ad hoc networks based on neighbor node density." Sensors 24.2: 325.




