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3. FEUP - Dissertação

Author(s):	Artur Jorge Coutinho Ribeiro
Title:	Subthreshold SRAM for IoT Systems
Issue Date:	2019-07-03
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.
Subject:	Engenharia electrotécnica, electrónica e informática Electrical engineering, Electronic engineering, Information engineering
Scientific areas:	Ciências da engenharia e tecnologias::Engenharia electrotécnica, electrónica e informática Engineering and technology::Electrical engineering, Electronic engineering, Information engineering
DOI:	10.34626/5cm8-6m30
TID identifier:	202389960
URI:	https://hdl.handle.net/10216/121370
Document Type:	Dissertação
Rights:	openAccess
Appears in Collections:	FEUP - Dissertação

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