Intelligent Sensor Networks
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 Learningadescribes the application of machine learning and other AI principles in sensor network intelligenceacovering smart sensor/transducer architecture and data representation for intelligent sensors Signal Processingaconsiders the optimization of sensor network performance based on digital signal processing techniquesaincluding 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 Networkingafocuses on network protocol design in order to achieve an intelligent sensor networkingacovering 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 applicationsaincluding 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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