Ultra-Low-Power Strategy for Reliable IoE Nanoscale Integrated Circuits

Author:

Semião Jorge1,Cabral Ruben1,Cavalaria Hugo1,Santos Marcelino1,Teixeira Isabel C.1,Teixeira J. Paulo1

Affiliation:

1. University of Algarve, Portugal

Abstract

Ultra-low-power strategies have a huge importance in today's integrated circuits designed for internet of everything (IoE) applications, as all portable devices quest for the never-ending battery life. Dynamic voltage and frequency scaling techniques can be rewarding, and the drastic power savings obtained in subthreshold voltage operation makes this an important technique to be used in battery-operated devices. However, unpredictability in nanoscale chips is high, and working at reduced supply voltages makes circuits more vulnerable to operational-induced delay-faults and transient-faults. The goal is to implement an adaptive voltage scaling (AVS) strategy, which can work at subthreshold voltages to considerably reduce power consumption. The proposed strategy uses aging-aware local and global performance sensors to enhance reliability and fault-tolerance and allows circuits to be dynamically optimized during their lifetime while prevents error occurrence. Spice simulations in 65nm CMOS technology demonstrate the results.

Publisher

IGI Global

Reference33 articles.

1. Arizona State University. (2011). Predictive Technology Model. Retrieved March 8, 2018, from http://ptm.asu.edu/

2. Burr, J., & Peterson, A. M. (1991). Ultra low power CMOS technology. Proceedings of NASA VLSI Design Symposium, 4.2.1–4.2.13.

3. Performance Sensor for Subthreshold Voltage Operation

4. Device sizing for minimum energy operation in subthreshold circuits

5. Modeling and sizing for minimum energy operation in subthreshold circuits

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Multiple-Output Switched-Capacitor DC-DC Combination Converters for IoT Applications;2020 IEEE 14th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG);2020-07

2. Internet of Things and Artificial Intelligence—A Wining Partnership?;Internet of Things;2020

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3