ABSTRACT
In the last decade, wireless or wired sensor networks have attracted much attention. However, most designs target general sensor network issues including protocol stack (routing, MAC, etc.) and security issues. This book focuses on the close integration of sensing, networking, and smart signal processing via machine learning. Based on their world-class research, the authors present the fundamentals of intelligent sensor networks. They cover sensing and sampling, distributed signal processing, and intelligent signal learning. In addition, they present cutting-edge research results from leading experts.
TABLE OF CONTENTS
part I|220 pages
Intelligent Sensor Networks: Machine Learning Approach
chapter Chapter 2|23 pages
Modeling Unreliable Data and Sensors
chapter Chapter 5|21 pages
Knowledge Representation and Reasoning for the Design of Resilient Sensor Networks
chapter Chapter 8|23 pages
Neuro-Disorder Patient Monitoring via Gait Sensor Networks
part II|187 pages
Intelligent Sensor Networks: Signal Processing
chapter Chapter 11|22 pages
On-Board Image Processing in Wireless Multimedia Sensor Networks
chapter Chapter 12|38 pages
Signal Processing for Sensing and Monitoring of Civil Infrastructure Systems
part III|225 pages
Intelligent Sensor Networks: Sensors and Sensor Networks
