Wireless Sensor Networks
An Information Processing Approach
Published on 21. July 2004
Book
Hardback
376 pages
978-1-55860-914-3 (ISBN)
Description
Information processing in sensor networks is a rapidly emerging area of computer science and electrical engineering research. Because of advances in micro-sensors, wireless networking and embedded processing, ad hoc networks of sensor are becoming increasingly available for commercial, military, and homeland security applications. Examples include monitoring (e.g., traffic, habitat, security), industrail sensing and diagnostics (e.g., factory, appliances), infrastructures (i.e., power grid, water distribution, waste disposal) and battle awareness (e.g., multi-target tracking). This book introduces practitioners to the fundamental issues and technology constraints concerning various aspects of sensor networks such as information organization, querying, routing, and self-organization using concrete examples and does so by using concrete examples from current research and implementation efforts.
Reviews / Votes
"Wireless sensor and actuator nets, also known as motes and smart dust, are an emerging computer class based on a new platform, networking structure, and interface that enable novel, low cost, high volume, applications. This text and reference is a critical link to create this new class by covering the field of study for both practitioners and researchers. Unlike earlier computer classes that have been mostly evolutionary, motes require the "tall, thin man? that Carver Mead used to describe custom VLSI design. Motes system research and development require, deep knowledge of radio links, networks, operating systems, each application, and their interaction. Zhao and Guibas provide an excellent foundation for embarking on understanding and building these new systems." --Gordon Bell, Senior Researcher, Microsoft Corporation"This book provides both an insightful overview of the emerging field of wireless sensor networks, and an in depth treatment of algorithmic signal and information processing issues. An excellent text for both professionals and students!"--Deborah Estrin, Center for Embedded Networked Sensing, UCLA
More details
Series
Language
English
Place of publication
San Francisco
United States
Publishing group
Elsevier Science & Technology
Target group
College/higher education
Sensor networking and embedded systems professionals including development engineers, research scientists, system architects, signal processing engineers, etc., in a wide variety of companies from the defense industry to the home computing and electronics industry.
Dimensions
Height: 235 mm
Width: 191 mm
Weight
930 gr
ISBN-13
978-1-55860-914-3 (9781558609143)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Book
Morgan Kaufmann
€99.99
The article will not be published
Persons
Feng Zhao is a senior researcher at Microsoft, where he manages the Networked Embedded Computing Group. He received his Ph.D. in Electrical Engineering and Computer Science from MIT and has taught at at Stanford University and Ohio State University. Dr. Zhao was a principal scientist at Xerox PARC and directed PARC's sensor network research effort. He is serving as the Editor-In-Chief of ACM Transactions on Sensor Networks. Professor Guibas heads the Geometric Computation group in the Computer Science Department of Stanford University, where he works on algorithms for sensing, modeling, reasoning about, rendering, and acting on the physical world. He is well-known for his work in computational geometry, computer graphics, and discrete algorithms. Professor Guibas obtained his Ph.D. from Stanford, has worked at PARC, MIT, and DEC/SRC, and was recently elected an ACM Fellow.
Content
Canonical problem: localization and trackingNetworking sensor networksSynchronization and localizationSensor tasking and controlSensor network databaseSensor network platforms and toolsApplication and future direction