Distributed Sensor Networks (inbunden)
Format
Inbunden (Hardback)
Språk
Engelska
Antal sidor
1706
Utgivningsdatum
2012-09-24
Upplaga
2 New edition
Förlag
Whittles Publishing
Illustratör/Fotograf
black and white 810 Illustrations 89 Tables black and white
Illustrationer
1641; 89 Tables, black and white; 810 Illustrations, black and white
Dimensioner
260 x 190 x 88 mm
Vikt
3247 g
Antal komponenter
2
Komponenter
Contains 2 Hardbacks
ISBN
9781439862896
Distributed Sensor Networks (inbunden)

Distributed Sensor Networks

Two Volume Set

Inbunden Engelska, 2012-09-24
2969
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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. Now split into two volumes, this second edition has been revised and expanded with over 500 additional pages and more than 300 new illustrations. This edition incorporates contributions from many veterans of the DARPA ISO SENSIT program as well as new material from distinguished researchers in the field. It offers 13 fully revised chapters and 22 new chapters, covering new perspectives on information fusion, the latest technical developments, and current sensor network applications. Image and Sensor Signal Processing (ISBN: 9781439862827): Overview Distributed Sensing and Signal Processing Information Fusion Power Management Sensor Networking and Applications (ISBN: 9781439862872): Sensor Deployment Adaptive Tasking Self-Configuration System Control Engineering Examples
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This excellent book on DSNs has a wealth of information for researchers, engineers, and scientists. It could be used as a textbook for graduate-level and doctoral courses on DSNs, and would also serve as a reference for engineers, scientists, and researchers working in this field. -Computing Reviews, April 2013 Praise for the First Edition: This book presents very wide coverage of all the aspects concerned with designing and developing DSNs. Each section or chapter can be read separately because it is a brief tutorial on a given topic. In conclusion, it gives me pleasure to recommend this book to prospective readers for its relevance, excellent presentation, and comprehensive coverage. -Andrzej R. Pach, Comsoc.com, March 2006

Bloggat om Distributed Sensor Networks

Övrig information

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.

Innehållsförteckning

VOLUME I: 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 Ilker OEzcelik 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 VOLUME II: Sensor Deployment Coverage-Oriented Sensor Deployment, Yi Zou and Krishnendu Chakrabarty Deployment of Sensors, S. Sitharama Iyengar, Ankit Tandon, Qishi Wu, Eungchun Cho, Nageswara S.V. Rao, and Vijay K. Vaishnavi Genetic Algorithm for Mobile Agent Routing in Distributed Sensor Networks, Qishi Wu, S. Sitharama Iyengar, and Nageswara S.V. Rao Computer Network, Suresh Rai Location-Centric Networking in Distributed Sensor Networks, Kuang-Ching Wang and Parameswaran Ramanathan Application of Geometric Probability and Integral Geometry to Sensor Field Analysis, Errol G. Rowe, James Kelly, and Anthony G. Warrack Directed Diffusion, Fabio Silva, John Heidemann, Ramesh Govindan, and Deborah Estrin Data Security Perspectives, David W. Carman Sensor Network Security with Random Key Predistribution, Lianyu Zhao, Richard R. Brooks, Brijesh Pillai, P.Y. G