Hardware and Real-Time Implementation
Research gap analysis derived from 2 engineering papers in our local library.
The gap
The papers collectively establish that real-time implementation feasibility and hardware constraints for embedded systems are unaddressed gaps in their respective methodologies.
Consensus across the literature
Current research lacks detailed exploration of how algorithms like AHA, AI models, and IoT sensors perform under practical deployment conditions with limited resources.
Research trend
Emerging — attention growing, methods still coalescing.
Supporting evidence — 2 representative gaps
- Artificial Hummingbird Algorithm- Based PID Controller for DC Motor Speed Control (2026) · doi
Implementation on embedded systems and hardware platforms (microcontrollers, FPGAs) with real-time constraints is not discussed and represents a gap between simulation and practical deployment.
Keywords: implementation embedded systems hardware platforms microcontrollers fpgas real time constraints discussed represents simulation practical deployment - Integrated V2V Communication System (2026) · doi
The paper does not address practical implementation challenges such as hardware constraints, real-time computational complexity, or deployment in actual vehicular platoon systems.
Keywords: address practical implementation challenges hardware constraints real time computational complexity deployment actual vehicular platoon systems
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