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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Sharma, Vishal | en_US |
dc.contributor.author | Vishvakarma, Santosh Kumar | en_US |
dc.date.accessioned | 2022-03-17T01:00:00Z | - |
dc.date.accessioned | 2022-03-17T15:43:59Z | - |
dc.date.available | 2022-03-17T01:00:00Z | - |
dc.date.available | 2022-03-17T15:43:59Z | - |
dc.date.issued | 2018 | - |
dc.identifier.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 | en_US |
dc.identifier.issn | 0098-9886 | - |
dc.identifier.other | EID(2-s2.0-85052789134) | - |
dc.identifier.uri | https://doi.org/10.1002/cta.2555 | - |
dc.identifier.uri | https://dspace.iiti.ac.in/handle/123456789/5798 | - |
dc.description.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. | en_US |
dc.language.iso | en | en_US |
dc.publisher | John Wiley and Sons Ltd | en_US |
dc.source | International Journal of Circuit Theory and Applications | en_US |
dc.subject | Cells | en_US |
dc.subject | Convergence of numerical methods | en_US |
dc.subject | Cytology | en_US |
dc.subject | Dynamic random access storage | en_US |
dc.subject | Intelligent systems | en_US |
dc.subject | Low power electronics | en_US |
dc.subject | Monte Carlo methods | en_US |
dc.subject | Sensor nodes | en_US |
dc.subject | Wearable sensors | en_US |
dc.subject | Circuit designs | en_US |
dc.subject | Low Power | en_US |
dc.subject | Read static noise margin (RSNM) | en_US |
dc.subject | Static noise margin | en_US |
dc.subject | Static random access memory | en_US |
dc.subject | Sub-threshold regions | en_US |
dc.subject | Wireless sensor node | en_US |
dc.subject | Write abilities | en_US |
dc.subject | Static random access storage | en_US |
dc.title | A write-improved low-power 12T SRAM cell for wearable wireless sensor nodes | en_US |
dc.type | Journal Article | en_US |
dc.rights.license | All Open Access, Green | - |
Appears in Collections: | Department of Electrical Engineering |
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