How inclusive are datasets in current studies?
  • Traditional Routing Protocols: AODV, DSR, OLSR dominate early solutions

Q & A Forum
Literature Review & Gap Analyses

Q: How inclusive are datasets in current studies?

  • The Synthetic Data Could Be More: Traffic generated randomly generally does not reflect real-world characteristics
  • Publicly Available Datasets Are Rarities: It would appear that there exist no gold-standard datasets for MANET attack detection
  • Unlabeled data: Restriction on designing supervised learning architectures
  • Simulated Scenarios: Do not incorporate communication errors and node failures that happen in real life
  • Data Diversity: Most datasets show a mono-click; they span neither military nor vehicular nor civil domains
This concern is central to help with finding research gaps in PhD topics and literature review and synthesis for PhD dissertation. Gap Insight: Strong need for publicly available, labeled, and realistic dataset for AI-supported MANET research.

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