SRAM Design for Wireless Sensor Networks - Energy Efficient and Variability Resilient Techniques (Paperback, 2013 ed.)

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This book features various, ultra low energy, variability resilient SRAM circuit design techniques for wireless sensor network applications. Conventional SRAM design targets area efficiency and high performance at the increased cost of energy consumption, making it unsuitable for computation-intensive sensor node applications. This book, therefore, guides the reader through different techniques at the circuit level for reducing energy consumption and increasing the variability resilience. It includes a detailed review of the most efficient circuit design techniques and trade-offs, introduces new memory architecture techniques, sense amplifier circuits and voltage optimization methods for reducing the impact of variability for the advanced technology nodes.

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Product Description

This book features various, ultra low energy, variability resilient SRAM circuit design techniques for wireless sensor network applications. Conventional SRAM design targets area efficiency and high performance at the increased cost of energy consumption, making it unsuitable for computation-intensive sensor node applications. This book, therefore, guides the reader through different techniques at the circuit level for reducing energy consumption and increasing the variability resilience. It includes a detailed review of the most efficient circuit design techniques and trade-offs, introduces new memory architecture techniques, sense amplifier circuits and voltage optimization methods for reducing the impact of variability for the advanced technology nodes.

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Product Details

General

Imprint

Springer-Verlag New York

Country of origin

United States

Series

Analog Circuits and Signal Processing

Release date

August 2014

Availability

Expected to ship within 10 - 15 working days

First published

2013

Authors

, ,

Dimensions

235 x 155 x 10mm (L x W x T)

Format

Paperback

Pages

172

Edition

2013 ed.

ISBN-13

978-1-4899-9215-4

Barcode

9781489992154

Languages

value

Subtitles

value

Categories

LSN

1-4899-9215-4



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