EXPLORATION OF LOW-POWER TECHNIQUES FOR ENERGY-EFFICIENT VLSI DESIGN IN INTERNET OF THINGS (IOT)
Pankaj Panwar
Abstract
The proliferation of Internet of Things (IoT) devices necessitates energy-efficient VLSI designs to extend battery life and ensure sustainable operation. This study delves into various low-power techniques for achieving energy efficiency in VLSI designs tailored for IoT applications. Through extensive simulations and evaluations, employing industry-standard tools and benchmarks, the efficacy of voltage scaling, clock gating, power gating, and architectural optimizations is assessed. Results indicate substantial energy savings, validated through graphs and technical analysis, without compromising system performance, rendering these techniques promising for IoT device implementation. The proliferation of Internet of Things (IoT) devices necessitates energy-efficient VLSI designs to extend battery life and ensure sustainable operation. This study delves into various low-power techniques for achieving energy efficiency in VLSI designs tailored for IoT applications. Through extensive simulations and evaluations, employing industry-standard tools and benchmarks, the efficacy of voltage scaling, clock gating, power gating, and architectural optimizations is assessed. Results indicate substantial energy savings, validated through graphs and technical analysis, without compromising system performance, rendering these techniques promising for IoT device implementation. Additionally, the abstract extends to emphasize the critical role of energy efficiency in IoT deployment, highlighting the impact of low-power VLSI design techniques in addressing environmental concerns and enabling the growth of IoT ecosystems. Furthermore, it underscores the practical significance of the findings, providing insights into the implementation challenges and trade-offs associated with each low-power technique. The abstract concludes by pointing to future research avenues, including the exploration of advanced low-power methodologies and their integration with emerging IoT technologies, to meet evolving energy efficiency demands and foster sustainable IoT innovation.
References
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