A Smart DVFS-Driven Adaptive VLSI Framework for Real-Time IoT Communication Systems

The proposed study centers on the fast proliferation of Internet of Things (IoT) devices, necessitating hardware designs that can dynamically adjust to fluctuations in workload while preserving real-time performance and reducing power consumption. The suggested system includes an intelligent voltage-frequency controller built into the Very Large Scale Integration (VLSI) architecture. This controller adjusts power-performance trade-offs depending on the current state of the network and the processing needs. The solution utilizes continuous monitoring and dynamic scaling techniques to minimize idle power loss and expedite communication between IoT nodes. The suggested architecture has multi-level voltage domains and clock-gate methods that make it more flexible and sensitive to calculations. Also, hardware simulation using VHDL/Verilog shows that there are significant gains in energy efficiency, throughput, and latency reduction compared with older static voltage systems. This adaptive method enables the development of long-lasting, scalable, and high-performance IoT communication systems, suitable for applications in healthcare, smart cities, and industrial automation. The study shows that adaptive VLSI systems that use Dynamic Voltage and Frequency Scaling (DVFS) may be the basis for future IoT hardware solutions that are smart, energy-efficient, and have minimal latency.