Intelligent Sensor Networks

Book Architecture This book includes three parts as follows: Part I—Machine Learning: This part describes the application of machine learning and other artificial intelligence principles in sensor network intelligence. It covers the basics of machine learning, including smart sensor/transducer architecture and data representation for intelligent sensors, modal parameter–based structural health monitoring based on wireless smart sensors, sensor-mission assignment problems in which the objective is to maximize the overall utility of the network under different constraints, reducing the amount of communication in sensor networks by means of learning techniques, neurodisorder patient monitoring via gait sensor networks, and cognitive radio-based sensor networks.