Table 1 Comparative summary of existing clustering and routing approaches.
Method/Reference | Advantages | Limitations |
|---|---|---|
FCM + PSO + GA26 | Improved CH distribution and energy balancing | High computational overhead, not real-time friendly |
Swarm Intelligence in IoMT27 | Adaptive, decentralized decision-making | Lacks clarity on real-time scalability and resource use |
SI + CNN-LSTM IDS28 | High intrusion detection accuracy | High complexity, limited adaptive learning |
PSO + Deep Learning29 | Enhanced routing and energy saving | Complex integration, not optimal for low-resource SNs |
ANFIS Health Monitoring30 | High anomaly detection, adaptability | Resource-heavy, not ideal for large-scale streaming |
GA + PSO + RF31 | High prediction accuracy for heart disease | Focused on diagnosis, not routing or CH optimization |
QPSO + Fuzzy Logic32 | Extended network life, improved stability | Computational complexity increases in real-time scenarios |
PSO + Fuzzy Clustering33 | Balanced energy usage, improved delivery | Reduced efficiency in large-scale networks |