Search results for: sensor-networks-and-signal-processing

Sensor Networks and Signal Processing

Author : Sheng-Lung Peng
File Size : 37.77 MB
Format : PDF, Kindle
Download : 872
Read : 597
Download »
This book offers a collection of high-quality research papers presented at the 2nd International Conference on Sensor Networks and Signal Processing (SNSP 2019), held in Taiwan on November 19–22, 2019. It presents novel contributions in the areas of sensor and actuator networks, wireless networks, networking and protocols, security and privacy, wireless communications, distributed algorithms, Internet of Things, system modeling and performance analysis, fault tolerance/diagnostics, information management, data mining and analysis, embedded systems design, signal theory, signal and image processing, detection and estimation, spectral analysis, software developments, pattern recognition, data processing, remote sensing, big data, machine learning, information and coding theory, and industrial applications.

Wireless Sensor Networks

Author : Ananthram Swami
File Size : 44.63 MB
Format : PDF, Docs
Download : 725
Read : 923
Download »
A wireless sensor network (WSN) uses a number of autonomous devices to cooperatively monitor physical or environmental conditions via a wireless network. Since its military beginnings as a means of battlefield surveillance, practical use of this technology has extended to a range of civilian applications including environmental monitoring, natural disaster prediction and relief, health monitoring and fire detection. Technological advancements, coupled with lowering costs, suggest that wireless sensor networks will have a significant impact on 21st century life. The design of wireless sensor networks requires consideration for several disciplines such as distributed signal processing, communications and cross-layer design. Wireless Sensor Networks: Signal Processing and Communications focuses on the theoretical aspects of wireless sensor networks and offers readers signal processing and communication perspectives on the design of large-scale networks. It explains state-of-the-art design theories and techniques to readers and places emphasis on the fundamental properties of large-scale sensor networks. Wireless Sensor Networks: Signal Processing and Communications : Approaches WSNs from a new angle – distributed signal processing, communication algorithms and novel cross-layer design paradigms. Applies ideas and illustrations from classical theory to an emerging field of WSN applications. Presents important analytical tools for use in the design of application-specific WSNs. Wireless Sensor Networks will be of use to signal processing and communications researchers and practitioners in applying classical theory to network design. It identifies research directions for senior undergraduate and graduate students and offers a rich bibliography for further reading and investigation.

Distributed Sensor Networks

Author : S. Sitharama Iyengar
File Size : 61.40 MB
Format : PDF, ePub
Download : 318
Read : 762
Download »
The best-selling Distributed Sensor Networks became the definitive guide to understanding this far-reaching technology. Preserving the excellence and accessibility of its predecessor, Distributed Sensor Networks, Second Edition once again provides all the fundamentals and applications in one complete, self-contained source. Ideal as a tutorial for

2018 International Conference on Sensor Networks and Signal Processing SNSP

Author : IEEE Staff
File Size : 26.91 MB
Format : PDF, ePub, Mobi
Download : 520
Read : 308
Download »
Sensor networks

Intelligent Sensor Networks

Author : Fei Hu
File Size : 35.47 MB
Format : PDF
Download : 304
Read : 1005
Download »
Although 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.

2018 International Conference on Sensor Networks and Signal Processing SNSP

Author :
File Size : 88.19 MB
Format : PDF, ePub
Download : 954
Read : 1324
Download »

SNSP 2018

Author :
File Size : 86.16 MB
Format : PDF
Download : 442
Read : 520
Download »

Handbook on Array Processing and Sensor Networks

Author : Simon Haykin
File Size : 41.63 MB
Format : PDF, Mobi
Download : 268
Read : 725
Download »
A handbook on recent advancements and the state of the art in array processing and sensor Networks Handbook on Array Processing and Sensor Networks provides readers with a collection of tutorial articles contributed by world-renowned experts on recent advancements and the state of the art in array processing and sensor networks. Focusing on fundamental principles as well as applications, the handbook provides exhaustive coverage of: wavelets; spatial spectrum estimation; MIMO radio propagation; robustness issues in sensor array processing; wireless communications and sensing in multi-path environments using multi-antenna transceivers; implicit training and array processing for digital communications systems; unitary design of radar waveform diversity sets; acoustic array processing for speech enhancement; acoustic beamforming for hearing aid applications; undetermined blind source separation using acoustic arrays; array processing in astronomy; digital 3D/4D ultrasound imaging technology; self-localization of sensor networks; multi-target tracking and classification in collaborative sensor networks via sequential Monte Carlo; energy-efficient decentralized estimation; sensor data fusion with application to multi-target tracking; distributed algorithms in sensor networks; cooperative communications; distributed source coding; network coding for sensor networks; information-theoretic studies of wireless networks; distributed adaptive learning mechanisms; routing for statistical inference in sensor networks; spectrum estimation in cognitive radios; nonparametric techniques for pedestrian tracking in wireless local area networks; signal processing and networking via the theory of global games; biochemical transport modeling, estimation, and detection in realistic environments; and security and privacy for sensor networks. Handbook on Array Processing and Sensor Networks is the first book of its kind and will appeal to researchers, professors, and graduate students in array processing, sensor networks, advanced signal processing, and networking.

Distributed Sensor Networks Second Edition

Author : S. Sitharama Iyengar
File Size : 65.91 MB
Format : PDF, Mobi
Download : 905
Read : 1081
Download »
The best-selling Distributed Sensor Networks became the definitive guide to understanding this far-reaching technology. Preserving the excellence and accessibility of its predecessor, Distributed Sensor Networks, Second Edition once again provides all the fundamentals and applications in one complete, self-contained source. Ideal as a tutorial for students or as research material for engineers, the book gives readers up-to-date, practical insight on all aspects of the field. Revised and expanded, this second edition incorporates contributions from many veterans of the DARPA ISO SENSIT program as well as new material from distinguished researchers in the field. Image and Sensor Signal Processing focuses on software issues and the history and future of sensor networks. The book also covers information fusion and power management. Readers of this book may also be interested in Distributed Sensor Networks, Second Edition: Sensor Networking and Applications (ISBN: 9781439862872).

Sensor Networks and Signal Processing

Author : Sheng-Lung Peng
File Size : 86.77 MB
Format : PDF
Download : 371
Read : 586
Download »
This book offers a collection of high-quality research papers presented at the 2nd International Conference on Sensor Networks and Signal Processing (SNSP 2019), held in Taiwan on November 19–22, 2019. It presents novel contributions in the areas of sensor and actuator networks, wireless networks, networking and protocols, security and privacy, wireless communications, distributed algorithms, Internet of Things, system modeling and performance analysis, fault tolerance/diagnostics, information management, data mining and analysis, embedded systems design, signal theory, signal and image processing, detection and estimation, spectral analysis, software developments, pattern recognition, data processing, remote sensing, big data, machine learning, information and coding theory, and industrial applications.

Sensor Networks with IEEE 802 15 4 Systems

Author : Chiara Buratti
File Size : 83.70 MB
Format : PDF, ePub, Docs
Download : 320
Read : 474
Download »
This book presents a simple, yet complete, approach to the design and performance analysis of distributed processing algorithms and techniques suitable for IEEE 802.15.4 networks. In particular, the book focuses on the bottom two layers of the ISO/OSI stack (Physical and Medium Access Control), discussing also a few issue related to routing. The book is a the synergistic combination of signal processing aspects on the one hand and MAC and connectivity issues on the other hand. The goal of the book is to clearly link physical layer aspects with medium access and topology aspects, in order to provide the reader with a clear understanding of how to approach the design of proper distributed signal processing and medium access algorithms in this context.

Spatial Signal Processing in Wireless Sensor Networks

Author : Benhong Zhang
File Size : 70.34 MB
Format : PDF, Mobi
Download : 318
Read : 1205
Download »

Information Processing in Sensor Networks

Author : Feng Zhao
File Size : 30.69 MB
Format : PDF, Mobi
Download : 566
Read : 539
Download »
This volume contains the Proceedings of the 2nd International Workshop on Information Processing in Sensor Networks (IPSN 2003). The workshop was held at the Palo Alto Research Center (PARC), Palo Alto, California, on April 22–23, 2003. Informationprocessinginsensornetworksisaninterdisciplinaryresearcharea with deep connections to signal processing, networking and protocols, databases and information management, as well as distributed algorithms. Because of - vances in MEMS microsensors, wireless networking, and embedded processing, ad hoc networks of sensors are becoming increasingly available for commercial andmilitaryapplicationssuchasenvironmentalmonitoring(e.g.,tra?c,habitat, security), industrial sensing and diagnostics (e.g., factories, appliances), inf- structure maintenance (e.g., power grids, water distribution, waste disposal), and battle?eld awareness (e.g., multitarget tracking). From the engineering and computing point of view, sensor networks have become a rich source of problems in communication protocols, sensor tasking and control, sensor fusion, distributed databases and algorithms, probabilistic reasoning, system/software architecture, design methodologies, and evaluation metrics. This workshop took a systemic approach to address crosslayer issues, from the physical sensor layer to the sensor signal processing and networking levels and then all the way to the applications. Following the successful 1st Workshop on Collaborative Signal and Inf- mation Processing in Sensor Networks at PARC in 2001, this new workshop brought together researchers from academia, industry, and government to p- sent and discuss recent work concerning various aspects of sensor networks such as information organization, querying, routing, and self-organization, with an emphasis on the high-level information processing tasks that these networks are designed to perform.

Communication Signal Processing Information Technology

Author : Faouzi Derbel
File Size : 74.83 MB
Format : PDF, Mobi
Download : 494
Read : 1049
Download »
Communication & Signal Processing involving topics such as: CommunicationsTheory and Techniques, Communications Protocols and Standards, TelecommunicationSystems, Modulation and Signal Design, Coding Compression andInformation Theory, Communication Networks, Wireless Communication, OpticalCommunication, Wireless Sensor Networks, MIMO Systems, MIMO Communications,Signal Processing for Communications e-Learning. Digital SignalProcessing, Multiresolution Analysis, Wavelets, Smart Antennas, AdaptiveAntennas, Theory and Practice of Signal Processing, Digital Signal Processing,Speech, Image, Video Signal Processing, Person Authentication, Biometry,Medical Imaging, Remote Sensing Analysis, Image Indexation, Image compression,Data Fusion and Pattern Recognition, Parallel Computing, ArtificialIntelligence, Information Retrieval.

Statistical Signal Processing in Sensor Networks

Author : Marco Guerriero
File Size : 43.29 MB
Format : PDF, ePub
Download : 443
Read : 685
Download »

Special Section on Communication and Signal Processing in Sensor Networks

Author : K. Yao
File Size : 57.51 MB
Format : PDF, ePub
Download : 943
Read : 378
Download »

Low complexity Signal Processing Algorithms for Wireless Sensor Networks

Author :
File Size : 50.30 MB
Format : PDF, ePub
Download : 231
Read : 578
Download »

Monte Carlo Methods for Signal Processing in Wireless Sensor Networks

Author : Mahesh Vemula
File Size : 51.24 MB
Format : PDF, ePub, Mobi
Download : 317
Read : 737
Download »

Wireless Sensor Networks

Author : Feng Zhao
File Size : 68.48 MB
Format : PDF, ePub, Docs
Download : 559
Read : 544
Download »
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. Written for practitioners, researchers, and students and relevant to all application areas, including environmental monitoring, industrial sensing and diagnostics, automotive and transportation, security and surveillance, military and battlefield uses, and large-scale infrastructural maintenance Skillfully integrates the many disciplines at work in wireless sensor network design: signal processing and estimation, communication theory and protocols, distributed algorithms and databases, probabilistic reasoning, energy-aware computing, design methodologies, evaluation metrics, and more Demonstrates how querying, data routing, and network self-organization can support high-level information-processing tasks

Robust Signal Processing in Distributed Sensor Networks

Author : Mark Ryan Leonard
File Size : 28.27 MB
Format : PDF, Docs
Download : 396
Read : 915
Download »