Wireless Sensor Networks
Author: Feng Zhao
Publisher: Morgan Kaufmann
Published: 2004-07-06
Total Pages: 378
ISBN-13: 1558609148
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Author: Feng Zhao
Publisher: Morgan Kaufmann
Published: 2004-07-06
Total Pages: 378
ISBN-13: 1558609148
DOWNLOAD EBOOKPublisher Description
Author: Feng Zhao
Publisher: Springer Science & Business Media
Published: 2003-04-10
Total Pages: 688
ISBN-13: 3540021116
DOWNLOAD EBOOKThis book constitutes the refereed proceedings of the Second International Workshop on Information Processing in Sensor Networks, IPSN 2003, held in Palo Alto, CA, USA, in April 2003. The 23 revised full papers and 21 revised poster papers presented were carefully reviewed and selected from 73 submissions. Among the topics addressed are wireless sensor networks, query processing, decentralized sensor platforms, distributed databases, distributed group management, sensor network design, collaborative signal processing, adhoc sensor networks, distributed algorithms, distributed sensor network control, sensor network resource management, data service middleware, random sensor networks, mobile agents, target tracking, sensor network protocols, large scale sensor networks, and multicast.
Author: Yang Yu
Publisher: World Scientific
Published: 2006
Total Pages: 202
ISBN-13: 9812772588
DOWNLOAD EBOOKThis book presents state-of-the-art cross-layer optimization techniques for energy-efficient information processing and routing in wireless sensor networks. Besides providing a survey on this important research area, three specific topics are discussed in detail OCo information processing in a collocated cluster, information transport over a tree substrate, and information routing for computationally intensive applications. The book covers several important system knobs for cross-layer optimization, including voltage scaling, rate adaptation, and tunable compression. By exploring tradeoffs of energy versus latency and computation versus communication using these knobs, significant energy conservation is achieved. Sample Chapter(s). Chapter 1: Introduction to Wireless Sensor Networks (421 KB). Contents: Introduction of Wireless Sensor Networks; Background; Energy Models; Information Processing within a Collocated Cluster; Information Transportation over a Tree Substrate; Information Routing with Tunable Compression. Readership: Researchers and graduate students in networking and electrical engineering."
Author: Fei Hu
Publisher: CRC Press
Published: 2012-12-15
Total Pages: 676
ISBN-13: 1439892814
DOWNLOAD EBOOKAlthough governments worldwide have invested significantly in intelligent sensor network research and applications, few books cover intelligent sensor networks from a machine learning and signal processing perspective. Filling this void, Intelligent Sensor Networks: The Integration of Sensor Networks, Signal Processing and Machine Learning focuses on the close integration of sensing, networking, and smart signal processing via machine learning. Based on the world-class research of award-winning authors, the book provides a firm grounding in the fundamentals of intelligent sensor networks, including compressive sensing and sampling, distributed signal processing, and intelligent signal learning. Presenting recent research results of world-renowned sensing experts, the book is organized into three parts: Machine Learning—describes the application of machine learning and other AI principles in sensor network intelligence—covering smart sensor/transducer architecture and data representation for intelligent sensors Signal Processing—considers the optimization of sensor network performance based on digital signal processing techniques—including cross-layer integration of routing and application-specific signal processing as well as on-board image processing in wireless multimedia sensor networks for intelligent transportation systems Networking—focuses on network protocol design in order to achieve an intelligent sensor networking—covering energy-efficient opportunistic routing protocols for sensor networking and multi-agent-driven wireless sensor cooperation Maintaining a focus on "intelligent" designs, the book details signal processing principles in sensor networks. It elaborates on critical platforms for intelligent sensor networks and illustrates key applications—including target tracking, object identification, and structural health monitoring. It also includes a paradigm for validating the extent of spatiotemporal associations among data sources to enhance data cleaning in sensor networks, a sensor stream reduction application, and also considers the use of Kalman filters for attack detection in a water system sensor network that consists of water level sensors and velocity sensors.
Author: IEEE Staff
Publisher:
Published: 2017-04-18
Total Pages:
ISBN-13: 9781467391474
DOWNLOAD EBOOKThe International Conference on Information Processing in Sensor Networks (IPSN) is a leading, single track, annual forum on research in networked sensing and control, broadly defined IPSN brings together researchers from academia, industry, and government to present and discuss recent advances in both theoretical and experimental research Its scope includes signal and image processing, information and coding theory, databases and information management, distributed algorithms, networks and protocols, wireless communications, collaborative objects and the internet of things, machine learning, mobile and social sensing, and embedded systems design Of special interest are contributions at the confluence of a multiple of these areas The conference features two interleaving tracks, the Information Processing (IP) track, and the Sensor Platforms, Tools and Design Methods (SPOTS) track We also encourage submissions on innovative applications of sensor network to real world problems
Author: João Gama
Publisher: Springer Science & Business Media
Published: 2007-10-11
Total Pages: 486
ISBN-13: 3540736786
DOWNLOAD EBOOKProcessing data streams has raised new research challenges over the last few years. This book provides the reader with a comprehensive overview of stream data processing, including famous prototype implementations like the Nile system and the TinyOS operating system. Applications in security, the natural sciences, and education are presented. The huge bibliography offers an excellent starting point for further reading and future research.
Author: Feng Zhao
Publisher:
Published: 2014-01-15
Total Pages: 696
ISBN-13: 9783662174470
DOWNLOAD EBOOKAuthor: Nitaigour P. Mahalik
Publisher: Springer Science & Business Media
Published: 2007-06-04
Total Pages: 520
ISBN-13: 3540373667
DOWNLOAD EBOOKThis book incorporates a selection of research and development papers. Its scope is on history and background, underlying design methodology, application domains and recent developments. The readers will be able to understand the underlying technology, philosophy, concepts, ideas, and principles, with regard to broader areas of sensor network. Aspects of sensor network and experimental results have been presented in proper order.
Author:
Publisher:
Published: 2016
Total Pages:
ISBN-13: 9781509008025
DOWNLOAD EBOOKAuthor: C. H. Chen
Publisher: World Scientific
Published: 2003
Total Pages: 629
ISBN-13: 9812796754
DOWNLOAD EBOOKWritten by leaders in the field of remote sensing information processing, this book covers the frontiers of remote sensors, especially with effective algorithms for signal/image processing and pattern recognition with remote sensing data. Sensor and data fusion issues, SAR images, hyperspectral images, and related special topics are also examined. Techniques making use of neural networks, wavelet transforms, and knowledge-based systems are emphasized. A special set of three chapters is devoted to seismic analysis and discrimination. In summary, the book provides an authoritative treatment of major topics in remote sensing information processing and defines new frontiers for these areas. Contents: Data Mining; SAR Image Processing; Wavelet Analysis and Applications; Military Applications of Remote Sensing; Microwave Remote Sensing; Statistical Pattern Recognition; Automatic Target Segmentation; Neural Networks; Change Detection; Seismic Signal Processing; Time Series Prediction; Image Compression; Emerging Topics. Readership: Engineers and scientists dealing with remote sensing data in particular, and signals and images in general; computer scientists involved in software development on geophysical data analysis.