Wireless Sensor Networks

Wireless Sensor Networks PDF Author: Feng Zhao
Publisher: Morgan Kaufmann
ISBN: 1558609148
Category : Computers
Languages : en
Pages : 378

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Book Description
Publisher Description

Wireless Sensor Networks

Wireless Sensor Networks PDF Author: Feng Zhao
Publisher: Morgan Kaufmann
ISBN: 1558609148
Category : Computers
Languages : en
Pages : 378

Get Book Here

Book Description
Publisher Description

Information Processing in Sensor Networks

Information Processing in Sensor Networks PDF Author: Feng Zhao
Publisher: Springer Science & Business Media
ISBN: 3540021116
Category : Computers
Languages : en
Pages : 688

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Book Description
This 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.

Intelligent Sensor Networks

Intelligent Sensor Networks PDF Author: Fei Hu
Publisher: CRC Press
ISBN: 1439892822
Category : Computers
Languages : en
Pages : 675

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Book Description
In the last decade, wireless or wired sensor networks have attracted much attention. However, most designs target general sensor network issues including protocol stack (routing, MAC, etc.) and security issues. This book focuses on the close integration of sensing, networking, and smart signal processing via machine learning. Based on their world-class research, the authors present the fundamentals of intelligent sensor networks. They cover sensing and sampling, distributed signal processing, and intelligent signal learning. In addition, they present cutting-edge research results from leading experts.

Learning from Data Streams

Learning from Data Streams PDF Author: João Gama
Publisher: Springer Science & Business Media
ISBN: 3540736786
Category : Computers
Languages : en
Pages : 486

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Book Description
Processing 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.

Sensor Networks and Configuration

Sensor Networks and Configuration PDF Author: Nitaigour P. Mahalik
Publisher: Springer Science & Business Media
ISBN: 3540373667
Category : Technology & Engineering
Languages : en
Pages : 520

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Book Description
This 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.

Data Fusion for Sensory Information Processing Systems

Data Fusion for Sensory Information Processing Systems PDF Author: James J. Clark
Publisher: Springer Science & Business Media
ISBN: 1475720769
Category : Technology & Engineering
Languages : en
Pages : 258

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Book Description
The science associated with the development of artificial sen sory systems is occupied primarily with determining how information about the world can be extracted from sensory data. For example, computational vision is, for the most part, concerned with the de velopment of algorithms for distilling information about the world and recognition of various objects in the environ (e. g. localization ment) from visual images (e. g. photographs or video frames). There are often a multitude of ways in which a specific piece of informa tion about the world can be obtained from sensory data. A subarea of research into sensory systems has arisen which is concerned with methods for combining these various information sources. This field is known as data fusion, or sensor fusion. The literature on data fusion is extensive, indicating the intense interest in this topic, but is quite chaotic. There are no accepted approaches, save for a few special cases, and many of the best methods are ad hoc. This book represents our attempt at providing a mathematical foundation upon which data fusion algorithms can be constructed and analyzed. The methodology that we present in this text is mo tivated by a strong belief in the importance of constraints in sensory information processing systems. In our view, data fusion is best un derstood as the embedding of multiple constraints on the solution to a sensory information processing problem into the solution pro cess.

Frontiers of Remote Sensing Information Processing

Frontiers of Remote Sensing Information Processing PDF Author: C. H. Chen
Publisher: World Scientific
ISBN: 9812796754
Category : Technology & Engineering
Languages : en
Pages : 629

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Book Description
Written 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.

Visual Information Processing in Wireless Sensor Networks: Technology, Trends and Applications

Visual Information Processing in Wireless Sensor Networks: Technology, Trends and Applications PDF Author: Ang, Li-Minn
Publisher: IGI Global
ISBN: 1613501544
Category : Computers
Languages : en
Pages : 387

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Book Description
"This book provides a central source of reference on visual information processing in wireless sensor network environments and its technology, application, and society issues"--

Wireless Multimedia Sensor Networks on Reconfigurable Hardware

Wireless Multimedia Sensor Networks on Reconfigurable Hardware PDF Author: Li-minn Ang
Publisher: Springer Science & Business Media
ISBN: 3642382037
Category : Computers
Languages : en
Pages : 303

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Book Description
Traditional wireless sensor networks (WSNs) capture scalar data such as temperature, vibration, pressure, or humidity. Motivated by the success of WSNs and also with the emergence of new technology in the form of low-cost image sensors, researchers have proposed combining image and audio sensors with WSNs to form wireless multimedia sensor networks (WMSNs). This introduces practical and research challenges, because multimedia sensors, particularly image sensors, generate huge amounts of data to be processed and distributed within the network, while sensor nodes have restricted battery power and hardware resources. This book describes how reconfigurable hardware technologies such as field-programmable gate arrays (FPGAs) offer cost-effective, flexible platforms for implementing WMSNs, with a main focus on developing efficient algorithms and architectures for information reduction, including event detection, event compression, and multicamera processing for hardware implementations. The authors include a comprehensive review of wireless multimedia sensor networks, a complete specification of a very low-complexity, low-memory FPGA WMSN node processor, and several case studies that illustrate information reduction algorithms for visual event compression, detection, and fusion. The book will be of interest to academic researchers, R&D engineers, and computer science and engineering graduate students engaged with signal and video processing, computer vision, embedded systems, and sensor networks.

Guide to Wireless Sensor Networks

Guide to Wireless Sensor Networks PDF Author: Sudip Misra
Publisher: Springer Science & Business Media
ISBN: 1848822189
Category : Computers
Languages : en
Pages : 725

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Book Description
Overview and Goals Wireless communication technologies are undergoing rapid advancements. The last few years have experienced a steep growth in research in the area of wireless sensor networks (WSNs). In WSNs, communication takes place with the help of spatially distributedautonomoussensornodesequippedtosensespeci?cinformation. WSNs, especially the ones that have gained much popularity in the recent years, are, ty- cally, ad hoc in nature and they inherit many characteristics/features of wireless ad hoc networks such as the ability for infrastructure-less setup, minimal or no reliance on network planning, and the ability of the nodes to self-organize and self-con?gure without the involvement of a centralized network manager, router, access point, or a switch. These features help to set up WSNs fast in situations where there is no existing network setup or in times when setting up a ?xed infrastructure network is considered infeasible, for example, in times of emergency or during relief - erations. WSNs ?nd a variety of applications in both the military and the civilian population worldwide such as in cases of enemy intrusion in the battle?eld, object tracking, habitat monitoring, patient monitoring, ?re detection, and so on. Even though sensor networks have emerged to be attractive and they hold great promises for our future, there are several challenges that need to be addressed. Some of the well-known challenges are attributed to issues relating to coverage and deployment, scalability, quality-of-service, size, computational power, energy ef?ciency, and security.