Iyengar / Brooks Distributed Sensor Networks, Second Edition

Image and Sensor Signal Processing
2. Auflage 2013
ISBN: 978-1-4398-6283-4
Verlag: Taylor & Francis
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 764 Seiten

Reihe: Chapman & Hall/CRC Computer & Information Science Series

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).

Zielgruppe

Sensor network and telecommunications researchers and practitioners, computer scientists, electrical engineers, mechanical engineers, and applied mathematicians.

Autoren/Hrsg.

Iyengar, S. Sitharama

Brooks, Richard R.

Fachgebiete

• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Drahtlostechnologie
• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Sensorik
• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Mobilfunk- und Drahtlosnetzwerke & Anwendungen

Inhaltsverzeichnis

Overview
Microsensor Applications, David Shepherd and Sri Kumar
Interfacing Distributed Sensor Actuator Networks with the Physical World, Shivakumar Sastry and S. Sitharama Iyengar
Contrast with Traditional Systems, Richard R. Brooks

Distributed Sensing and Signal Processing
Digital Signal Processing Backgrounds, Yu Hen Hu
Image Processing Background, Lynne L. Grewe and Ben Shahshahani
Object Detection and Classification, Akbar M. Sayeed
Parameter Estimation, David S. Friedlander
Target Tracking with Self-Organizing Distributed Sensors, Richard R. Brooks, Christopher Griffin, David S. Friedlander, J.D. Koch, and Ílker Özçelik Collaborative Signal and Information Processing, Feng Zhao, Jie Liu, Juan Liu, Leonidas Guibas, and James Reich
Environmental Effects, David C. Swanson
Detecting and Counteracting Atmospheric Effects, Lynne L. Grewe
Signal Processing and Propagation for Aeroacoustic Sensor Networks, Richard J. Kozick, Brian M. Sadler, and D. Keith Wilson
Distributed Multi-Target Detection in Sensor Networks, Xiaoling Wang, Hairong Qi, and Steve Beck
Symbolic Dynamic Filtering for Pattern Recognition in Distributed Sensor Networks, Xin Jin, Shalabh Gupta, Kushal Mukherjee, and Asok Ray
Beamforming, J.C. Chen and Kung Yao

Information Fusion
Foundations of Data Fusion for Automation, S. Sitharama Iyengar, Shivakumar Sastry, and N. Balakrishnan
Measurement-Based Statistical Fusion Methods for Distributed Sensor Networks, Nageswara S.V. Rao
Soft Computing Techniques, Richard R. Brooks
Estimation and Kalman Filters, David L. Hall
Data Registration, Richard R. Brooks, Jacob Lamb, Lynne L. Grewe, and Juan Deng
Signal Calibration, Estimation for Real-Time Monitoring and Control, Asok Ray and Shashi Phoha
Semantic Information Extraction, David S. Friedlander
Fusion in the Context of Information Theory, Mohiuddin Ahmed and Gregory Pottie
Multispectral Sensing, N.K. Bose
Chebyshev’s Inequality-Based Multisensor Data Fusion in Self- Organizing Sensor Networks, Mengxia Zhu, Richard R. Brooks, Song Ding, Qishi Wu, Nageswara S.V. Rao, and S. Sitharama Iyengar
Markov Model Inferencing in Distributed Systems, Chen Lu, Jason M. Schwier, Richard R. Brooks, Christopher Griffin, and Satish Bukkapatnam
Emergence of Human-Centric Information Fusion, David L. Hall

Power Management
Designing Energy-Aware Sensor Systems, N. Vijaykrishnan, M.J. Irwin, M. Kandemir, L. Li, G. Chen, and B. Kang
Operating System Power Management, Vishnu Swaminathan and Krishnendu Chakrabarty
An Energy-Aware Approach for Sensor Data Communication, H. Saputra, N. Vijaykrishnan, M. Kandemir, Richard R. Brooks, and M.J. Irwin
Compiler-Directed Communication Energy Optimizations for Microsensor Networks, I. Kadayif, M. Kandemir, A. Choudhary, M. Karakoy, N. Vijaykrishnan, and M.J. Irwin
Jamming Games in Wireless and Sensor Networks, Rajgopal Kannan, Costas Busch, and Shuangqing Wei
Reasoning about Sensor Networks, Manuel Peralta, Supratik Mukhopadhyay, and Ramesh Bharadwaj
Testing and Debugging Sensor Network Applications, Sally K. Wahba, Jason O. Hallstrom, and Nigamanth Sridhar

Index

Über Autor(innen)

S. Sitharama Iyengar is the director of and Ryder Professor in the School of Computing and Information Sciences at Florida International University. A SIAM distinguished lecturer, ACM national lecturer, IEEE distinguished scientist, and fellow of the IEEE, ACM, AAAS, and SDPS, Dr. Iyengar is the founding editor-in-chief of the International Journal of Distributed Sensor Networks. He is a world-class expert in computational aspects of sensor networks, data structures, and algorithms for various distributed applications. Many of his techniques have been used at institutions such as NASA and Oak Ridge National Laboratory.

Richard R. Brooks is an associate professor of electrical and computer engineering at Clemson University. A senior member of the IEEE, Dr. Brooks is the associate managing editor of the International Journal of Distributed Sensor Networks. His research interests include distributed systems, network security, sensor networks, and self-organizing systems. His work has been sponsored by DARPA, the U.S. Office of Naval Research, and other high-level organizations.