Buch, Englisch, 244 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 394 g
Processing Techniques in Sensor Networks
Buch, Englisch, 244 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 394 g
ISBN: 978-3-642-09285-5
Verlag: Springer
Processing data streams has raised new research challenges over the last few years. This book provides the reader with a comprehensive overview of stream data processing, including famous prototype implementations like the Nile system and the TinyOS operating system. Applications in security, the natural sciences, and education are presented. The huge bibliography offers an excellent starting point for further reading and future research.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Robotik
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
- Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Fernmeldetechnik
- Mathematik | Informatik EDV | Informatik Technische Informatik Externe Speicher & Peripheriegeräte
- Mathematik | Informatik EDV | Informatik Technische Informatik Netzwerk-Hardware
- Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse
- Mathematik | Informatik EDV | Informatik Daten / Datenbanken Datenkompression, Dokumentaustauschformate
Weitere Infos & Material
Overview.- Sensor Networks: An Overview.- Data Stream Processing.- Data Stream Processing in Sensor Networks.- Data Stream Management Techniques in Sensor Networks.- Data Stream Management Systems and Architectures.- Querying of Sensor Data.- Aggregation and Summarization in Sensor Networks.- Sensory Data Monitoring.- Mining Sensor Network Data Streams.- Clustering Techniques in Sensor Networks.- Predictive Learning in Sensor Networks.- Tensor Analysis on Multi-aspect Streams.- Applications.- Knowledge Discovery from Sensor Data for Security Applications.- Knowledge Discovery from Sensor Data For Scientific Applications.- TinyOS Education with LEGO MINDSTORMS NXT.
