Although governments worldwide have invested significantly in intelligent sensor network research and applications, few books cover intelligent sensor networks from a machine learning and signal processing perspective. Filling this void, Intelligent Sensor Networks: The Integration of Sensor Networks, Signal Processing and Machine Learning focuses on the close integration of sensing, networking, and smart signal processing via machine learning.
Based on the world-class research of award-winning authors, the book provides a firm grounding in the fundamentals of intelligent sensor networks, including compressive sensing and sampling, distributed signal processing, and intelligent signal learning. Presenting recent research results of world-renowned sensing experts, the book is organized into three parts:
Machine Learning-describes the application of machine learning and other AI principles in sensor network intelligence-covering smart sensor/transducer architecture and data representation for intelligent sensors
Signal Processing-considers the optimization of sensor network performance based on digital signal processing techniques-including cross-layer integration of routing and application-specific signal processing as well as on-board image processing in wireless multimedia sensor networks for intelligent transportation systems
Networking-focuses on network protocol design in order to achieve an intelligent sensor networking-covering energy-efficient opportunistic routing protocols for sensor networking and multi-agent-driven wireless sensor cooperation
Maintaining a focus on “intelligent” designs, the book details signal processing principles in sensor networks. It elaborates on critical platforms for intelligent sensor networks and illustrates key applications-including target tracking, object identification, and structural health monitoring. It also includes a paradigm for validating the extent of spatiotemporal associations among data sources to enhance data cleaning in sensor networks, a sensor stream reduction application, and also considers the use of Kalman filters for attack detection in a water system sensor network that consists of water level sensors and velocity sensors.
Additional information
Weight
1.38 kg
Product Properties
Year of Publication
2013
Table of Contents
INTELLIGENT SENSOR NETWORKS: MACHINE LEARNING APPROACH
Machine Learning Basics; Krasimira Kapitanova and Sang H. Son
Modeling Unreliable Data and Sensors: Using Event Log Performance and F-Measure Attribute Selection; Vasanth Iyer, S. Sitharama Iyengar, and Srinivas Srivathsan
Intelligent Sensor Interfaces and Data Format; Konstantin Mikhaylov, Joni Jamsa, Mika Luimula, Jouni Tervonen, and Ville Autio
Smart Wireless Sensor Nodes for Structural Health Monitoring; Xuefeng Liu, Shaojie Tang, and Xiaohua Xu
Knowledge Representation and Reasoning for the Design of Resilient Sensor Networks; David W. Kelle, Touria El-Mezyani, Sanjeev K. Srivastava, and David A. Cartes
Intelligent Sensor-to-Mission Assignment; Hosam Rowaihy
Prediction-Based Data Collection in Wireless Sensor Networks; Jann-Ael Le Borgne and Gianluca Bontempi
Neuro-Disorder Patient Monitoring via Gait Sensor Networks: Toward an Intelligent, Context-Oriented Signal Processing; Fei Hu, Qingquan Sun, and Qi Hao
Cognitive Wireless Sensor Networks; Sumit Kumar, Deepti Singhal, and Rama Murthy Garimella
INTELLIGENT SENSOR NETWORKS: SIGNAL PROCESSING
Routing for Signal Processing; Wanzhi Qiu and Efstratios Skafidas
On-Board Image Processing in Wireless Multimedia Sensor Networks: A Parking Space Monitoring Solution for Intelligent Transportation Systems; Claudio Salvadori, Matteo Petracca, Marco Ghibaudi, and Paolo Pagano
Signal Processing for Sensing and Monitoring Civil Infrastructure Systems; Mustafa Gul and F. Necati Catbas
Data Cleaning in Low Powered Wireless Sensor Networks; Qutub Ali Bakhtiar, Niki Pissinou, and Kia Makki
Sensor Stream Reduction; Andre L.L. Aquino, Paulo R.S. Silva Filho, Elizabeth F. Wanner, and Ricardo A. Rabelo
Compressive Sensing and Its Application in Wireless Sensor Networks; Jae-Gun Choi, Sang-Jun Park, and Heung-No Lee
Compressive Sensing for Wireless Sensor Networks; Mohammadreza Mahmudimanesh, Abdelmajid Khelil, and Neeraj Suri
A Framework for Detecting Attacks on Sensors of Water Systems; Kebina Manandhar, Xiaojun Cao, and Fei Hu
INTELLIGENT SENSOR NETWORKS: SENSORS AND SENSOR NETWORKS
Reliable and Energy-Efficient Networking Protocol Design in Wireless Sensor Networks; Ting Zhu and Ping Yi
Agent-Driven Wireless Sensors Cooperation for Limited Resources Allocation; Sameh Abdel-Naby, Conor Muldoon, Olga Zlydareva, and Gregory O'Hare
Event Detection in Wireless Sensor Networks; Norman Dziengel, Georg Wittenburg, Stephan Adler, Zakaria Kasmi, Marco Ziegert, and Jochen Schiller
Dynamic Coverage Problems in Sensor Networks; Hristo Djidjev and Miodrag Potkonjak
Self-Organizing Distributed State Estimator; Joris Sijs and Zoltan Papp
Low-Power Solutions for Wireless Passive Sensor Network Node Processor Architecture; Vyasa Sai, Ajay Ogirala, and Marlin H. Mickle
Fusion of Pre/Post-RFID Correction Techniques to Reduce Anomalies; Peter Darcy, Prapassara Pupunwiwat, and Bela Stantic
Radio Frequency Identification Systems and Sensor Integration for Telemedicine; Ajay Ogirala, Shruti Mantravadi, and Marlin H. Mickle
Introduction: A New Generation of Intrusion Detection Networks; Jerry Krill, Michael O'Driscoll, and Natalie N. Dickins
Author
Fei Hu, Qi Hao
ISBN/ISSN
9780849323218
Binding
Hardback
Edition
1
Publisher
CRC Press
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