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Book Categories |
Ch. 1 | An overview | 3 |
Ch. 2 | Microsensor applications | 11 |
Ch. 3 | A taxonomy of distributed sensor networks | 29 |
Ch. 4 | Contrast with traditional systems | 45 |
Ch. 5 | Digital signal processing backgrounds | 53 |
Ch. 6 | Image-processing background | 71 |
Ch. 7 | Object detection and classification | 97 |
Ch. 8 | Parameter estimation | 115 |
Ch. 9 | Target tracking with self-organizing distributed sensors | 135 |
Ch. 10 | Collaborative signal and information processing : an information-directed approach | 185 |
Ch. 11 | Environmental effects | 201 |
Ch. 12 | Detecting and counteracting atmospheric effects | 213 |
Ch. 13 | Signal processing and propagation for aeroacoustic sensor networks | 225 |
Ch. 14 | Distributed multi-target detection in sensor networks | 271 |
Ch. 15 | Foundations of data fusion for automation | 291 |
Ch. 16 | Measurement-based statistical fusion methods for distributed sensor networks | 301 |
Ch. 17 | Soft computing techniques | 321 |
Ch. 18 | Estimation and Kalman filters | 335 |
Ch. 19 | Data registration | 361 |
Ch. 20 | Signal calibration, estimation for real-time monitoring and control | 391 |
Ch. 21 | Semantic information extraction | 409 |
Ch. 22 | Fusion in the context of information theory | 419 |
Ch. 23 | Multispectral sensing | 437 |
Ch. 24 | Coverage-oriented sensor deployment | 453 |
Ch. 25 | Deployment of sensors : an overview | 483 |
Ch. 26 | Genetic algorithm for mobile agent routing in distributed sensor networks | 505 |
Ch. 27 | Computer network - basic principles | 527 |
Ch. 28 | Location-centric networking in distributed sensor networks | 555 |
Ch. 29 | Directed diffusion | 573 |
Ch. 30 | Data security perspectives | 597 |
Ch. 31 | Quality of service metrics | 613 |
Ch. 32 | Network daemons for distributed sensor networks | 629 |
Ch. 33 | Designing energy-aware sensor systems | 653 |
Ch. 34 | Operating system power management | 667 |
Ch. 35 | An energy-aware approach for sensor data communication | 697 |
Ch. 36 | Compiler-directed communication energy optimizations for microsensor networks | 711 |
Ch. 37 | Sensor-centric routing in wireless sensor networks | 735 |
Ch. 38 | Query processing in sensor networks | 751 |
Ch. 39 | Autonomous software reconfiguration | 773 |
Ch. 40 | Mobile code support | 787 |
Ch. 41 | The mobile-agent framework for collaborative processing in sensor networks | 801 |
Ch. 42 | Distributed services | 819 |
Ch. 43 | Adaptive active querying | 835 |
Ch. 44 | Need for self-configuration | 847 |
Ch. 45 | Emergence | 855 |
Ch. 46 | Biological primitives | 863 |
Ch. 47 | Physics and chemistry | 879 |
Ch. 48 | Collective intelligence for power-aware routing in mobile ad hoc sensor networks | 895 |
Ch. 49 | Random networks and percolation theory | 907 |
Ch. 50 | On the behavior of communication links in a multi-hop mobile environment | 947 |
Ch. 51 | Example distributed sensor network control hierarchy | 977 |
Ch. 52 | SenSoft : development of a collaborative sensor network | 1011 |
Ch. 53 | Statistical approaches to cleaning sensor data | 1023 |
Ch. 54 | Plant monitoring with special reference to endangered species | 1039 |
Ch. 55 | Designing distributed sensor applications for wireless mesh networks | 1049 |
Ch. 56 | Beamforming | 1069 |
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