Intelligent Sensor Networks

Intelligent Sensor Networks

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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 Learninga€”describes the application of machine learning and other AI principles in sensor network intelligencea€”covering smart sensor/transducer architecture and data representation for intelligent sensors Signal Processinga€”considers the optimization of sensor network performance based on digital signal processing techniquesa€”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 Networkinga€”focuses on network protocol design in order to achieve an intelligent sensor networkinga€”covering energy-efficient opportunistic routing protocols for sensor networking and multi-agent-driven wireless sensor cooperation Maintaining a focus on qintelligentq designs, the book details signal processing principles in sensor networks. It elaborates on critical platforms for intelligent sensor networks and illustrates key applicationsa€”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.1 1.4.3 Algorithm Performance in the SEED-E YE Camera Network The algorithm performance in terms of execution time and memory occupancy has been evaluated by means of a real implementation in the SEED-EYE [50] camera network device. ... camera network device developed by Scuola Superiore Santa#39; Anna and Evidence within the IPERMOB [28] project. The board is equipped with a Microchip PIC52 microcontroller working at a frequency of 80 MHz and embedding 512 kBanbsp;...

Title:Intelligent Sensor Networks
Author: Fei Hu, Qi Hao
Publisher:CRC Press - 2012-12-15

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