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https://hdl.handle.net/10216/121370Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.creator | Artur Jorge Coutinho Ribeiro | |
| dc.date.accessioned | 2025-11-10T02:58:23Z | - |
| dc.date.available | 2025-11-10T02:58:23Z | - |
| dc.date.issued | 2019-07-03 | |
| dc.date.submitted | 2019-07-25 | |
| dc.identifier.other | sigarra:343962 | |
| dc.identifier.uri | https://hdl.handle.net/10216/121370 | - |
| dc.description | The Internet of Things (IoT) is an emerging technological paradigm, which is experiencing an exponential growth. It focus on distributed sensing to acquire knowledge about the real world, and distributed computing for its computational capabilities. An IoT node is composed of a microprocessor, a communication unit (RF radio), sensors or actuators and a power source. It tries to achieve extremely high battery life (years or decades), mainly through aggressive duty cycling. This way, the node spends most of its life in a sleep state (apart from some always-on components). The duty cycling comes with a disadvantage: all data must be stored in retentive memories (e.g. flash memory) or in always-on parts of the circuitry. Static Random Access Memory (SRAM) is a type of non-retentive memory that can hold its data indefinitely (while powered). It is used in small embedded devices and SoC, as well as in processors cache. By designing a SRAM module for the sensors data that focus on lowering the power consumption, the overall power consumption of the power node can be reduced. This work focus on designing a full-custom 180 nm CMOS SRAM for Ultra Low Power. The SRAM has 128 bytes (1024 bits) of storage, and works at 128 Hz clock frequency, while powered at 200 mV. | |
| dc.language.iso | eng | |
| dc.rights | openAccess | |
| dc.subject | Engenharia electrotécnica, electrónica e informática | |
| dc.subject | Electrical engineering, Electronic engineering, Information engineering | |
| dc.title | Subthreshold SRAM for IoT Systems | |
| dc.type | Dissertação | |
| dc.contributor.uporto | Faculdade de Engenharia | |
| dc.identifier.doi | 10.34626/5cm8-6m30 | |
| dc.identifier.tid | 202389960 | |
| dc.subject.fos | Ciências da engenharia e tecnologias::Engenharia electrotécnica, electrónica e informática | |
| dc.subject.fos | Engineering and technology::Electrical engineering, Electronic engineering, Information engineering | |
| thesis.degree.discipline | Mestrado Integrado em Engenharia Electrotécnica e de Computadores | |
| thesis.degree.grantor | Faculdade de Engenharia | |
| thesis.degree.grantor | Universidade do Porto | |
| thesis.degree.level | 1 | |
| Appears in Collections: | FEUP - Dissertação | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 343962.pdf | Subthreshold SRAM for IoT Systems | 13.31 MB | Adobe PDF |  View/Open |
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