Mayank Yadav
- Student, Department of Automation and Robotics, Guru Gobind Singh Indraprastha University, Sector-16C, Dwarka, New Delhi, India
Abstract
Nodes in Mobile Ad Hoc Networks (MANETs), which operate without a fixed infrastructure, communicate wirelessly in a dynamic and demanding environment. In these kinds of situations, routing becomes essential to guaranteeing effective data transfer. The dynamic topology and shifting network conditions of MANETs present challenges for traditional routing protocols. The blending of routing protocols with Artificial Intelligence (AI) techniques has become a viable way to improve MANET performance in recent years. The integration of AI techniques and routing protocols in MANETs is the subject of this research article. We assess different routing protocols and AI-based techniques through a thorough review and analysis, outlining their advantages, disadvantages, and suitability for various MANET scenarios. In addition, we go over the difficulties and potential avenues for future research in this area with the goal of enlightening practitioners and researchers who are interested in enhancing the resilience and effectiveness of MANETs.
Keywords: MANETs, AI, Nodes, Environment, OLSR
[This article belongs to International Journal of Robotics and Automation in Mechanics(ijram)]
Browse Figures
References
- Wheeb AH, Nordin R, Samah AA, Alsharif MH, Khan MA. Topology-based routing protocols and mobility models for flying ad hoc networks: A contemporary review and future research directions. Drones. 2021 Dec 31;6(1):9.
- Fawaz G. Intelligent Routing Protocols Using Machine Learning. International Journal of Computing and Digital Systems. 2024 Mar 10;16(1):1-6.
- Ramphull D, Mungur A, Armoogum S, Pudaruth S. A review of mobile ad hoc NETwork (MANET) Protocols and their Applications. In2021 5th international conference on intelligent computing and control systems (ICICCS) 2021 May 6 (pp. 204-211). IEEE.
- Junhai L, Danxia Y, Liu X, Mingyu F. A survey of multicast routing protocols for mobile ad-hoc networks. IEEE communications surveys & tutorials. 2009 Mar 4;11(1):78-91.
- Chettibi S, Chikhi S. A survey of reinforcement learning based routing protocols for mobile ad-hoc networks. InInternational Conference on Computer Networks and Communications 2011 Jun 26 (pp. 1-13). Berlin, Heidelberg: Springer Berlin Heidelberg.
- Sara AT, Souad BA, Abdelatif CH. Comparative study of position-based routing protocol GPSR and topology-based routing protocol DYMO for Multi-UAV (FANET) networks (Doctoral dissertation, UNIVERSITY OF KASDI MERBAH OUARGLA).
- Pasandideh F, da Costa JP, Kunst R, Islam N, Hardjawana W, Pignaton de Freitas E. A review of flying ad hoc networks: Key characteristics, applications, and wireless technologies. Remote Sensing. 2022 Sep 7;14(18):4459.
- Mchergui A, Moulahi T, Zeadally S. Survey on artificial intelligence (AI) techniques for vehicular ad-hoc networks (VANETs). Vehicular Communications. 2022 Apr 1;34:100403.
- Kafetzis D, Vassilaras S, Vardoulias G, Koutsopoulos I. Software-defined networking meets software-defined radio in mobile ad hoc networks: state of the art and future directions. IEEE Access. 2022 Jan 18;10:9989-10014.
- Navitha S, Velmurugan T. A survey on the simulation models and results of routing protocols in mobile ad-hoc networks. organization. 2015 Dec;4(02).
| Volume | 01 |
| Issue | 02 |
| Received | March 11, 2024 |
| Accepted | March 18, 2024 |
| Published | April 10, 2024 |