Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/5798
Title: A write-improved low-power 12T SRAM cell for wearable wireless sensor nodes
Authors: Sharma, Vishal
Vishvakarma, Santosh Kumar
Keywords: Cells;Convergence of numerical methods;Cytology;Dynamic random access storage;Intelligent systems;Low power electronics;Monte Carlo methods;Sensor nodes;Wearable sensors;Circuit designs;Low Power;Read static noise margin (RSNM);Static noise margin;Static random access memory;Sub-threshold regions;Wireless sensor node;Write abilities;Static random access storage
Issue Date: 2018
Publisher: John Wiley and Sons Ltd
Citation: Sharma, V., Vishvakarma, S., Chouhan, S. S., & Halonen, K. (2018). A write-improved low-power 12T SRAM cell for wearable wireless sensor nodes. International Journal of Circuit Theory and Applications, 46(12), 2314-2333. doi:10.1002/cta.2555
Abstract: In this work, a data-dependent feedback-cutting–based bit-interleaved 12T static random access memory (SRAM) cell is proposed, which enhances the write margin in terms of write trip point (WTP) and write static noise margin (WSNM) by 2.14× and 8.99× whereas read stability in terms of dynamic read noise margin (DRNM) and read static noise margin (RSNM) by 1.06× and 2.6 ×, respectively, for 0.4 V when compared with a conventional 6T SRAM cell. The standby power has also been reduced to 0.93× with an area overhead of 1.49× as that of 6T. Monte Carlo simulation results show that the proposed cell offers a robust write margin when compared with the state-of-the-art memory cells available in the literature. An analytical model of WSNM for 12T operating in subthreshold region is also proposed, which has been verified using the simulation results. Finally, a small SRAM macro along with its independent memory controller has been designed. © 2018 John Wiley & Sons, Ltd.
URI: https://doi.org/10.1002/cta.2555
https://dspace.iiti.ac.in/handle/123456789/5798
ISSN: 0098-9886
Type of Material: Journal Article
Appears in Collections:Department of Electrical Engineering

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