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Distributed Sensor Networks [Kõva köide]

Edited by , Edited by (Clemson University, South Carolina, USA), Edited by (Florida International University, Miami, USA)
  • Formaat: Hardback, 1140 pages, kõrgus x laius: 254x178 mm, kaal: 2109 g, 993 equations; 549 Halftones, black and white; 71 Tables, black and white; 549 Illustrations, black and white, Contains 3 hardbacks
  • Sari: Chapman & Hall/CRC Computer and Information Science Series
  • Ilmumisaeg: 29-Dec-2004
  • Kirjastus: Chapman & Hall/CRC
  • ISBN-10: 1584883839
  • ISBN-13: 9781584883838
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  • Formaat: Hardback, 1140 pages, kõrgus x laius: 254x178 mm, kaal: 2109 g, 993 equations; 549 Halftones, black and white; 71 Tables, black and white; 549 Illustrations, black and white, Contains 3 hardbacks
  • Sari: Chapman & Hall/CRC Computer and Information Science Series
  • Ilmumisaeg: 29-Dec-2004
  • Kirjastus: Chapman & Hall/CRC
  • ISBN-10: 1584883839
  • ISBN-13: 9781584883838
Teised raamatud teemal:
The vision of researchers to create smart environments through the deployment of thousands of sensors, each with a short range wireless communications channel and capable of detecting ambient conditions such as temperature, movement, sound, light, or the presence of certain objects is becoming a reality. With the emergence of high-speed networks and with their increased computational capabilities, Distributed Sensor Networks (DSN) have a wide range of real-time applications in aerospace, automation, defense, medical imaging, robotics, and weather prediction. Over the past several years, scientists, engineers, and researchers in a multitude of disciplines have been clamoring for more detailed information without much success. Until now, in fact, this evolving technology was so new and proprietary that information has been available only in scattered articles or basic books.

Distributed Sensor Networks is a complete, self-contained book that introduces background theory and applications of this revolutionary new technology. It contains essential background on wireless networks, signal processing, and self-organizing systems. This volume encompasses a number of recurring themes like multidimensional data structures, reasoning with uncertainty, system dependability, and the use of metaheuristics.

With over 500 illustrations and over 1,000 pages of in depth information, Distributed Sensor Networks is both an excellent introduction to the field and a complete reference source. With contributions from leading experts, virtually every major topic on 'Smart Dust' is examined. This volume promises to become the definitive guide to understanding this far-reaching technology for years to come, opening frontiers in research and applications.
SECTION I: OVERVIEW
1(48)
An Overview
3(8)
S.S. Iyengar
Ankit Tandon
R.R. Brooks
Microsensor Applications
11(18)
David Shepherd
Sri Kumar
A Taxonomy of Distributed Sensor Networks
29(16)
Shivakumar Sastry
S.S. Iyengar
Contrast with Traditional Systems
45(4)
R.R. Brooks
SECTION II: DISTRIBUTED SENSING AND SIGNAL PROCESSING
49(238)
Digital Signal Processing Backgrounds
53(18)
Yu Hen Hu
Image-Processing Background
71(26)
Lynne Grewe
Ben Shahshahani
Object Detection and Classification
97(18)
Akbar M. Sayeed
Parameter Estimation
115(20)
David S. Friedlander
Target Tracking with Self-Organizing Distributed Sensors
135(50)
R.R. Brooks
C. Griffin
David S. Friedlander
J.D. Koch
Collaborative Signal and Information Processing: An Information-Directed Approach
185(16)
Feng Zhao
Jie Liu
Juan Liu
Leonidas Guibas
James Reich
Environmental Effects
201(12)
David C. Swanson
Detecting and Counteracting Atmospheric Effects
213(12)
Lynne L. Grewe
Signal Processing and Propagation for Aeroacoustic Sensor Networks
225(46)
Richard J. Kozick
Brian M. Sadler
D. Keith Wilson
Distributed Multi-Target Detection in Sensor Networks
271(16)
Xiaoling Wang
Hairong Qi
Steve Beck
SECTION III: INFORMATION FUSION
287(162)
Foundations of Data Fusion for Automation
291(10)
S.S. Iyengar
S. Sastry
N. Balakrishnan
Measurement-Based Statistical Fusion Methods For Distributed Sensor Networks
301(20)
Nageswara S.V. Rao
Soft Computing Techniques
321(14)
R.R. Brooks
Estimation and Kalman Filters
335(26)
David L. Hall
Data Registration
361(30)
R.R. Brooks
Jacob Lamb
Lynne Grewe
Signal Calibration, Estimation for Real-Time Monitoring and Control
391(18)
Asok Ray
Shashi Phoha
Semantic Information Extraction
409(10)
David S. Friedlander
Fusion in the Context of Information Theory
419(18)
Mohiuddin Ahmed
Gregory Pottie
Multispectral Sensing
437(12)
N.K. Bose
SECTION IV: SENSOR DEPLOYMENT AND NETWORKING
449(202)
Coverage-Oriented Sensor Deployment
453(30)
Yi Zou
Krishnendu Chakrabarty
Deployment of Sensors: An Overview
483(22)
S.S. Iyengar
Ankit Tandon
Qishi Wu
Eungchun Cho
Nageswara S.V. Rao
Vijay K. Vaishnavi
Genetic Algorithm for Mobile Agent Routing in Distributed Sensor Networks
505(22)
Qishi Wu
S.S. Iyengar
Nageswara S.V. Rao
Computer Network --- Basic Principles
527(28)
Suresh Rai
Location-Centric Networking in Distributed Sensor Networks
555(18)
Kuang-Ching Wang
Parameswaran Ramanathan
Directed Diffusion
573(24)
Fabio Silva
John Heidemann
Ramesh Govindan
Deborah Estrin
Data Security Perspectives
597(16)
David W. Carman
Quality of Service Metrics
613(16)
N. Gautam
Network Daemons for Distributed Sensor Networks
629(22)
Nageswara S.V. Rao
Qishi Wu
SECTION V: POWER MANAGEMENT
651(98)
Designing Energy-Aware Sensor Systems
653(14)
N. Vijaykrishnan
M.J. Irwin
M. Kandemir
L. Li
G. Chen
B. Kang
Operating System Power Management
667(30)
Vishnu Swaminathan
Krishnendu Chakrabarty
An Energy-Aware Approach for Sensor Data Communication
697(14)
H. Saputra
N. Vijaykrishnan
M. Kandemir
R.R. Brooks
M.J. Irwin
Compiler-Directed Communication Energy Optimizations for Microsensor Networks
711(24)
I. Kadayif
M. Kandemir
A. Choudhary
M. Karakoy
N. Vijaykrishnan
M.J. Irwin
Sensor-Centric Routing in Wireless Sensor Networks
735(14)
Rajgopal Kannan
S.S. Iyengar
SECTION VI: ADAPTIVE TASKING
749(96)
Query Processing in Sensor Networks
751(22)
Samuel Madden
Johannes Gehrke
Autonomous Software Reconfiguration
773(14)
R.R. Brooks
Mobile Code Support
787(14)
R.R. Brooks
T. Keiser
The Mobile-Agent Framework for Collaborative Processing in Sensor Networks
801(18)
Hairong Qi
Yingyue Xu
Teja Phani Kuruganti
Distributed Services
819(16)
Alvin S. Lim
Adaptive Active Querying
835(10)
Bhaskar Krishnamachari
SECTION VII: SELF-CONFIGURATION
845(130)
Need for Self-Configuration
847(8)
R.R. Brooks
Emergence
855(8)
R.R. Brooks
Biological Primitives
863(16)
M. Pirretti
R.R. Brooks
J. Lamb
M. Zhu
Physics and Chemistry
879(16)
Mengxia Zhu
Richard Brooks
Matthew Pirretti
S.S. Iyengar
Collective Intelligence for Power-Aware Routing in Mobile Ad Hoc Sensor Networks
895(12)
Vijay S. Iyer
S.S. Iyengar
N. Balakrishnan
Random Networks and Percolation Theory
907(40)
R.R. Brooks
On the Behavior of Communication Links in a Multi-Hop Mobile Environment
947(28)
Prince Samar
Stephen B. Wicker
SECTION VIII: SYSTEM CONTROL
975(34)
Example Distributed Sensor Network Control Hierarchy
977(32)
Mengxia Zhu
S.S. Iyengar
Jacob Lamb
R.R. Brooks
Matthew Pirretti
SECTION IX: ENGINEERING EXAMPLES
1009(58)
SenSoft: Development of a Collaborative Sensor Network
1011(12)
Gail Mitchell
Jeff Mazurek
Ken Theriault
Prakash Manghwani
Statistical Approaches to Cleaning Sensor Data
1023(16)
Eiman Elnahrawy
Badri Nath
Plant Monitoring with Special Reference to Endangered Species
1039(10)
K.W. Bridges
Edo Biagioni
Designing Distributed Sensor Applications for Wireless Mesh Networks
1049(18)
Robert Poor
Cliff Bowman
SECTION X: BEAMFORMING
1067(40)
Beamforming
1069(38)
J.C. Chen
K. Yao
Index 1107