Energy-Efficient VLSI Circuit Optimization for Next-Generation IoT Devices
K. Malarkodi
Abstract
The proliferation of IoT devices has changed the way we engage with the physical environment. However, because of their widespread use, energy economy and environmentally responsible operations are given special consideration. This study explores “Energy Efficiency in VLSI Circuits for Next-Generation IoT Devices,” with an eye on striking a good power-to-performance ratio. Our research takes a holistic strategy, investigating architecture, optimizing at the transistor level, honing algorithms, and incorporating Internet of Things (IoT)-centric concerns regarding performance. Optimizing transistors, in particular via scaling voltage, results in substantial energy savings and increased device lifespan. Using evolutionary algorithms demonstrates how algorithmic optimization may help cut down on power use without sacrificing performance. The unique needs of IoT applications highlight the importance of context-aware circuit design to extend battery life and minimize environmental impact. By balancing power consumption and performance, our comparative assessments guide IoT deployments towards cost-effectiveness and energy efficiency. The research also introduces a multi-core heterogeneous architecture that minimizes power leakage while sustaining performance, making it suitable for battery-powered IoT devices. In conclusion, we promote sustainable, cost-effective practices for IoT providers and developers, aiming for longer battery life and greater device reliability. This supports global sustainability goals and steers IoT towards a more eco-friendly and interconnected future.