Overview
- Includes state-of-the-art research articles in sensor networks and its applications
- Highlights recent advances, current working developments in the field, and future directions
- Provides interdisciplinary problems and real-world applications in environmental monitoring, military surveillance, computational neuroscience, seismic detection, and many more
- Includes supplementary material: sn.pub/extras
Part of the book series: Springer Optimization and Its Applications (SOIA, volume 61)
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Table of contents (10 chapters)
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Models and Algorithms for Ensuring Efficient Performance of Sensor Networks
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Theoretical Aspects of Analyzing Information Patterns
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Sensors in Real-World Applications
Keywords
About this book
In recent years, technological advances have resulted in the rapid development of a new exciting research direction --- the interdisciplinary use of sensors for data collection, systems analysis, and monitoring. Application areas include environmental monitoring, military surveillance, computational neuroscience, seismic detection, and many more. Among the research areas considered, sensor networks represent a very active area, as well as work on problems such as sensor networks, sensor network localization, and network design. They are also related to optimization problems that have multiple applications and require interdisciplinary techniques from several fields. Additionally, neuroscientists use sensors to collect data during tests which record brain activity. These highly calibrated sensors require precision engineering techniques play an important role in analyzing and integrating large datasets.
The purpose of this book is to bring together recent developments of both theoreticians and practitioners representing various fields from engineering, computer science, biomedicine, and the military, share knowledge, ideas, and techniques regarding the state-of-the-art sensor research.  Â
Editors and Affiliations
Bibliographic Information
Book Title: Sensors: Theory, Algorithms, and Applications
Editors: Vladimir L. L. Boginski, Clayton W. W. Commander, Panos M. M. Pardalos, Yinyu Ye
Series Title: Springer Optimization and Its Applications
DOI: https://doi.org/10.1007/978-0-387-88619-0
Publisher: Springer New York, NY
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Science+Business Media, LLC 2012
Hardcover ISBN: 978-0-387-88618-3Published: 24 November 2011
Softcover ISBN: 978-1-4899-8960-4Published: 25 January 2014
eBook ISBN: 978-0-387-88619-0Published: 24 November 2011
Series ISSN: 1931-6828
Series E-ISSN: 1931-6836
Edition Number: 1
Number of Pages: X, 242
Topics: Optimization, Circuits and Systems, Algorithms, Communications Engineering, Networks, Electronics and Microelectronics, Instrumentation