Optimized Low-power VLSI Design for High-performance IoT Devices Using Advanced Power Management Techniques
Open Access
- 5 August 2026
- journal article
- research article
- Published by Springer Nature in International Journal of Computational Intelligence Systems
- Vol. 19 (1)
Abstract
No abstract availableKeywords
This publication has 23 references indexed in Scilit:
- VLSI Circuit Architectures for Scalable IoT Implementations2024
- Hybrid Optimization Algorithms for Dynamic and Static Power Reduction in Low-Power VLSI Circuits2024
- Algorithmic Techniques for Power Management and Optimization in Low-Power VLSI Design for Energy-Efficient Systems2024
- Power Optimization Techniques During Synthesis and Physical Design for a Low-Power RISC-V Design2024
- Efficient Power Management in Wireless Sensor Networks: Leveraging VLSI Techniques on FPGA Platforms2024
- Power Optimization in Wireless Sensor Network Using VLSI Technique on FPGA PlatformNeural Processing Letters, 2024
- Advanced Techniques for Efficient Leakage Power Reduction in CMOS VLSI Circuits2024
- Emerging VLSI Technologies for High performance AI and ML Applications2024
- An overview of low power technologies and the Alternative Approaches for low power IOT Architecture2024
- Research progress on low-power artificial intelligence of things (AIoT) chip designScience China Information Sciences, 2023