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9780521840125: Principles of Embedded Networked Systems Design

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Embedded network systems (ENS) provide a set of technologies that can link the physical world to large-scale networks in applications, such as monitoring of borders, infrastructure, health, the environment, automated production, supply chains, homes, and places of business. This book details the fundamentals for this interdisciplinary and fast-moving field. The book begins with mathematical foundations and the relevant background topics in signal propagation, sensors, detection and estimation theory, and communications. Key component technologies in ENS are discussed: synchronization and position localization, energy and data management, actuation, and node architecture. Ethical, legal, and social implications are addressed. The final chapter summarizes some of the lessons learned in producing multiple ENS generations. A focus on fundamental principles together with extensive examples and problem sets make this text ideal for use in graduate courses on electrical engineering and computer science. It will also appeal to engineers involved in the design of ENS.

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About the Authors

GREGORY POTTIE has been a faculty member of the UCLA Electrical Engineering Department since 1991, serving in vice-chair roles from 1999–2003. Since 2003 he has also served as Associate Dean for Research and Physical Resources of the Henry Samueli School of Engineering and Applied Science. From 1997-1999 he was secretary to the board of governors for the IEEE Information Theory Society. In 1998 he was named the faculty researcher of the year for the UCLA School of Engineering and Applied Science for his pioneering role in wireless sensor networks. Dr Pottie is a deputy director of the NSF-sponsored science and technology Center for Embedded Networked Sensors and is a co-founder of Sensoria Corporation.

WILLIAM KAISER joined the UCLA Electrical Engineering Department in 1994 and there, with Professor Pottie, initiated the first wireless networked microsensor programs with a vision of linking the Internet to the physical world through distributed monitoring. Professor Kaiser served as Electrical Engineering Department Chairman from 1996 through to 2000, He has received the Allied Signal Faculty Award, the Peter Mark Award of the Vacuum Society, the NASA Medal of Exceptional Scientific Achievement, the Arch Colwell Best Paper Award of the Society of Automotive Engineers and two R & D 100 Awards. He is co-founder of Sensoria Corporation.

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Hardcover. Condition: new. Hardcover. Embedded network systems (ENS) provide a set of technologies that can link the physical world to large scale networks in applications such as monitoring of borders, infrastructure, health, the environment, automated production, supply chains, homes, and places of business. This book details the fundamentals for this interdisciplinary and fast-moving field. The book begins with mathematical foundations and the relevant background topics in signal propagation, sensors, detection and estimation theory, and communications. Key component technologies in ENS are discussed: synchronization and position localization, energy and data management, actuation, and node architecture. Ethical, legal, and social implications are addressed. The final chapter summarizes some of the lessons learned in producing multiple ENS generations. A focus on fundamental principles together with extensive examples and problem sets make this text ideal for use on graduate courses in electrical engineering and computer science. It will also appeal to engineers involved in the design of ENS. Embedded network systems provide a set of technologies that can link the physical world to large-scale networks allowing monitoring and control in many physical processes. This book details the fundamentals for this fast-moving field. It contains extensive examples and problems and is ideal for graduate students and practising engineers. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9780521840125

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