An ultra-low power asynchronous-logic in-situ self-adaptive VDD system for wireless sensor networks
We propose a Sub-threshold (Sub-Vt) Self-Adaptive VDD Scaling (SSAVS) system for a Wireless Sensor Network with the objective of lowest possible power dissipation for the prevailing throughput and circuit conditions, yet high robustness and with minimal overheads. The effort to achieve the lowest po...
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sg-ntu-dr.10356-986652020-03-07T12:47:16Z An ultra-low power asynchronous-logic in-situ self-adaptive VDD system for wireless sensor networks Lin, Tong Chong, Kwen-Siong Chang, Joseph Sylvester Gwee, Bah Hwee School of Electrical and Electronic Engineering Temasek Laboratories DRNTU::Engineering::Electrical and electronic engineering We propose a Sub-threshold (Sub-Vt) Self-Adaptive VDD Scaling (SSAVS) system for a Wireless Sensor Network with the objective of lowest possible power dissipation for the prevailing throughput and circuit conditions, yet high robustness and with minimal overheads. The effort to achieve the lowest possible power operation is by means of adjusting VDD to the minimum voltage (within 50 mV) for said conditions. High robustness is achieved by adopting the Quasi-Delay-Insensitive (QDI) asynchronous-logic protocols where the circuits therein are self-timed, and by the embodiment of our proposed Pre-Charged-Static-Logic (PCSL) design approach; when compared against competing approaches, the PCSL is most competitive in terms of energy/operation, delay and IC area. By exploiting the already existing request and acknowledge signals of the QDI protocols, the ensuing overhead of the SSAVS is very modest. The filter bank embodied in the SSAVS is shown to be ultra-low power and highly robust. When benchmarked against the competing conventional Dynamic-Voltage-Frequency-Scaling (DVFS) synchronous-logic counterpart, no one system is particularly advantageous when the operating conditions are known. However, when the competing DVFS system is designed for the worst-case condition, the proposed SSAVS system is somewhat more competitive, including uninterrupted operation while its VDD self-adjusts to the varying conditions. 2013-11-06T05:53:01Z 2019-12-06T19:58:15Z 2013-11-06T05:53:01Z 2019-12-06T19:58:15Z 2012 2012 Journal Article Lin, T., Chong, K. S., Chang, J. S., & Gwee, B. H. (2013). An ultra-low power asynchronous-logic in-situ self-adaptive VDD system for wireless sensor networks. IEEE journal of solid-state circuits, 48(2), 573-586. https://hdl.handle.net/10356/98665 http://hdl.handle.net/10220/17343 10.1109/JSSC.2012.2223971 en IEEE journal of solid-state circuits |
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DRNTU::Engineering::Electrical and electronic engineering Lin, Tong Chong, Kwen-Siong Chang, Joseph Sylvester Gwee, Bah Hwee An ultra-low power asynchronous-logic in-situ self-adaptive VDD system for wireless sensor networks |
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We propose a Sub-threshold (Sub-Vt) Self-Adaptive VDD Scaling (SSAVS) system for a Wireless Sensor Network with the objective of lowest possible power dissipation for the prevailing throughput and circuit conditions, yet high robustness and with minimal overheads. The effort to achieve the lowest possible power operation is by means of adjusting VDD to the minimum voltage (within 50 mV) for said conditions. High robustness is achieved by adopting the Quasi-Delay-Insensitive (QDI) asynchronous-logic protocols where the circuits therein are self-timed, and by the embodiment of our proposed Pre-Charged-Static-Logic (PCSL) design approach; when compared against competing approaches, the PCSL is most competitive in terms of energy/operation, delay and IC area. By exploiting the already existing request and acknowledge signals of the QDI protocols, the ensuing overhead of the SSAVS is very modest. The filter bank embodied in the SSAVS is shown to be ultra-low power and highly robust. When benchmarked against the competing conventional Dynamic-Voltage-Frequency-Scaling (DVFS) synchronous-logic counterpart, no one system is particularly advantageous when the operating conditions are known. However, when the competing DVFS system is designed for the worst-case condition, the proposed SSAVS system is somewhat more competitive, including uninterrupted operation while its VDD self-adjusts to the varying conditions. |
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School of Electrical and Electronic Engineering |
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School of Electrical and Electronic Engineering Lin, Tong Chong, Kwen-Siong Chang, Joseph Sylvester Gwee, Bah Hwee |
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Article |
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Lin, Tong Chong, Kwen-Siong Chang, Joseph Sylvester Gwee, Bah Hwee |
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Lin, Tong |
title |
An ultra-low power asynchronous-logic in-situ self-adaptive VDD system for wireless sensor networks |
title_short |
An ultra-low power asynchronous-logic in-situ self-adaptive VDD system for wireless sensor networks |
title_full |
An ultra-low power asynchronous-logic in-situ self-adaptive VDD system for wireless sensor networks |
title_fullStr |
An ultra-low power asynchronous-logic in-situ self-adaptive VDD system for wireless sensor networks |
title_full_unstemmed |
An ultra-low power asynchronous-logic in-situ self-adaptive VDD system for wireless sensor networks |
title_sort |
ultra-low power asynchronous-logic in-situ self-adaptive vdd system for wireless sensor networks |
publishDate |
2013 |
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https://hdl.handle.net/10356/98665 http://hdl.handle.net/10220/17343 |
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1681048878911062016 |