Computational Sensor Networks
This text proposes a model-based approach to the design and implementation of Computational Sensor Networks (CSNs). This high-level paradigm for the development and application of sensor device networks provides a strong scientific computing foundation, as well as the basis for robust software engin...
Αποθηκεύτηκε σε:
| Κύριος συγγραφέας: | |
|---|---|
| Μορφή: | Livre numérique |
| Γλώσσα: | Anglais |
| Έκδοση: |
New York, NY :
Springer US
2009.
Cham : Springer Nature |
| Διαθέσιμο Online: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Σημείωση: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Industrielle Mikrobiologie, Hans-Jürgen Rehm, 2., völlig neubearb. Aufl, Berlin, Springer, 1980, xx, 718 p • Computational Sensor Networks, Texte imprimé, 9780387561196 • Computational Sensor Networks, Texte imprimé, 9781441935014 |
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| 100 | 1 | |a Henderson, Thomas. | |
| 245 | 1 | 0 | |a Computational Sensor Networks |c by Thomas Henderson. |
| 260 | |a New York, NY : |b Springer US. | ||
| 260 | |a Cham : |b Springer Nature, |c 2009. | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 0 | |a CSN: Overview of Approach -- Leadership Algorithms -- Coordinate Frames and Gradient Calculation -- Pattern Formation in S-Nets -- Logical Sensors and Computational Mapping -- Mobile Robot Performance Analysis -- CSN: The Heat Equation -- Bayesian Estimation of Distributed Phenomena. | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. chttps://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a This text proposes a model-based approach to the design and implementation of Computational Sensor Networks (CSNs). This high-level paradigm for the development and application of sensor device networks provides a strong scientific computing foundation, as well as the basis for robust software engineering practices. Building upon a model-based approach the text discusses computational modeling of sensor networks and covers real-time computational mapping that allows for modification of system parameters according to real-time performance measures. Drawing upon years of theoretical development and practical experience, and using numerous examples and illustrative applications, Thomas Henderson covers the sensor network as a computational science tool and describes: A computational framework for sensor networks; Emergent algorithms for cluster formation, coordinate frames, gradients, reaction-diffusion pattern formation, and level set computation in a sensor network; How CSNs can be used to develop models to probe the structure of the sensor system itself by solving inverse problems based on strong models (e.g., PDEs) of the physical phenomena; How CSNs can be used to model sensor network systems, including surveillance, environment modeling, structure monitoring, and biomedical monitoring; Computational Sensor Networks is a must have book for sensor network application engineers, computer engineers, computer scientists and those involved in the development, design and building of sensor networks in an industrial, research and an academic environment. | ||
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| 776 | 0 | |t Computational Sensor Networks |b Texte imprimé |z 9780387561196 | |
| 776 | 0 | |t Computational Sensor Networks |b Texte imprimé |z 9781441935014 | |
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