TY - BOOK AU - Sharma,Vibhu AU - Catthoor,Francky AU - Dehaene,Wim ED - SpringerLink (Online service) TI - SRAM Design for Wireless Sensor Networks: Energy Efficient and Variability Resilient Techniques T2 - Analog Circuits and Signal Processing SN - 9781461440390 AV - TK7888.4 U1 - 621.3815 23 PY - 2013/// CY - New York, NY PB - Springer New York, Imprint: Springer KW - Engineering KW - Electronics KW - Microelectronics KW - Electrical engineering KW - Electronic circuits KW - Circuits and Systems KW - Electronics and Microelectronics, Instrumentation KW - Communications Engineering, Networks N1 - Introduction -- SRAM Bit Cell Optimization -- Adaptive Voltage Optimization Techniques: Low Voltage SRAM Operation -- Circuit Techniques to Assist SRAM Cell: Local Assist Circuitry -- SRAM Energy Reduction Techniques -- Variation Tolerant Low Power Sense Amplifiers -- Prototypes -- Conclusions N2 - 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.    Discusses fundamentals of energy reduction for SRAM circuits and applies them to energy limitation challenges associated with wireless sensor  nodes; Explains impact of variability resilience in reducing the energy consumption; Describes various memory architectures and provides detailed overview of different types of SRAM cells; Includes sense amplifier design techniques for solving energy-offset tradeoff UR - http://dx.doi.org/10.1007/978-1-4614-4039-0 ER -