Distributed Sensor Networks, 2nd Edition

Book description

Preserving the excellence and accessibility of its best-selling predecessor, this second edition once again provides all the fundamentals and applications in one complete, self-contained source. It 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.

Table of contents

  1. Cover
  2. Half Title
  3. Title Page
  4. Copyright Page
  5. Dedication
  6. Table of Contents
  7. Preface to the Second Edition
  8. Preface to the First Edition
  9. Editors
  10. Contributors
  11. PART I Overview
    1. 1 Microsensor Applications
    2. 2 Interfacing Distributed Sensor Actuator Networks with the Physical World
    3. 3 Contrast with Traditional Systems
  12. PART II Distributed Sensing and Signal Processing
    1. 4 Digital Signal Processing Backgrounds
    2. 5 Image Processing Background
    3. 6 Object Detection and Classification
    4. 7 Parameter Estimation
    5. 8 Target Tracking with Self-Organizing Distributed Sensors
    6. 9 Collaborative Signal and Information Processing
    7. 10 Environmental Effects
    8. 11 Detecting and Counteracting Atmospheric Effects
    9. 12 Signal Processing and Propagation for Aeroacoustic Sensor Networks
    10. 13 Distributed Multi-Target Detection in Sensor Networks
    11. 14 Symbolic Dynamic Filtering for Pattern Recognition in Distributed Sensor Networks
    12. 15 Beamforming
  13. PART III Information Fusion
    1. 16 Foundations of Data Fusion for Automation
    2. 17 Measurement-Based Statistical Fusion Methods for Distributed Sensor Networks
    3. 18 Soft Computing Techniques
    4. 19 Estimation and Kalman Filters
    5. 20 Data Registration
    6. 21 Signal Calibration, Estimation for Real-Time Monitoring and Control
    7. 22 Semantic Information Extraction
    8. 23 Fusion in the Context of Information Theory
    9. 24 Multispectral Sensing
    10. 25 Chebyshev’s Inequality-Based Multisensor Data Fusion in Self-Organizing Sensor Networks
    11. 26 Markov Model Inferencing in Distributed Systems
    12. 27 Emergence of Human-Centric Information Fusion
  14. PART IV Power Management
    1. 28 Designing Energy-Aware Sensor Systems
    2. 29 Operating System Power Management
    3. 30 An Energy-Aware Approach for Sensor Data Communication
    4. 31 Compiler-Directed Communication Energy Optimizations for Microsensor Networks
    5. 32 Jamming Games in Wireless and Sensor Networks
    6. 33 Reasoning about Sensor Networks
    7. 34 Testing and Debugging Sensor Network Applications

Product information

  • Title: Distributed Sensor Networks, 2nd Edition
  • Author(s): S. Sitharama Iyengar, Richard R. Brooks
  • Release date: April 2016
  • Publisher(s): Chapman and Hall/CRC
  • ISBN: 9781000755664