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  • Traditional Routing Protocols: AODV, DSR, OLSR dominate early solutions

Q & A Forum
Literature Review & Gap Analyses

Q: What are the limitations of the existing AI/ML applications in MANETs?

  • Scalability Limitations: DRL agents often come to failure within extremely high mobility of nodes or very large networks.
  • Interpretability Issues: The black-box models predominated by the absence of justifications behind the decisions.
  • Deployment Limitations: Memory, power, and compute capabilities are limited from the MANET nodes.
  • Training Problems: All these require very large datasets which are often not available for MANETs.
  • Adaptability Issues: Most of the AI models do not generalize across scenarios or topological changes within the model.
These challenges are often explored during research gap analysis in literature review and discussed in literature review writing service contexts. Gap Insight: This drives research toward lightweight, interpretable, and hardware-adaptable models for real MANET environments.

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