TY - BOOK ID - 14303449 TI - SRAM design for wireless sensor networks : energy efficient and variability resilient techniques AU - Sharma, Vibhu. AU - Catthoor, Francky. AU - Dehaene, Wim. PY - 2012 SN - 1461440386 9786613936103 1461440394 128362365X 1489992154 PB - New York, NY : Springer, DB - UniCat KW - Computer storage devices -- Design and construction. KW - Embedded computer systems -- Design and construction. KW - Random access memory. KW - Wireless sensor networks. KW - Wireless sensor networks KW - Electrical & Computer Engineering KW - Engineering & Applied Sciences KW - Electrical Engineering KW - Systems engineering. KW - WSNs (Sensor networks) KW - Engineering systems KW - System engineering KW - Design and construction 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. KW - Electron-tube circuits KW - Electric circuits KW - Electron tubes KW - Electronics KW - Electric engineering KW - Engineering KW - Microminiature electronic equipment KW - Microminiaturization (Electronics) KW - Microtechnology KW - Semiconductors KW - Miniature electronic equipment KW - Electrical engineering KW - Physical sciences KW - Construction KW - Industrial arts KW - Technology KW - Computer networks KW - Low voltage systems KW - Sensor networks KW - Wireless communication systems KW - Context-aware computing KW - Industrial engineering KW - System analysis KW - Telecommunication. KW - Electric communication KW - Mass communication KW - Telecom KW - Telecommunication industry KW - Telecommunications KW - Communication KW - Information theory KW - Telecommuting UR - https://www.unicat.be/uniCat?func=search&query=sysid:14303449 AB - 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. ER -