Overview
- Presents a comprehensive treatment of sensor scheduling problems in the context of sensor networks
- Demonstrates many original solutions dedicated to the networks with scanning and mobile sensor nodes
- Offers numerous effective algorithms for sensor scheduling and trajectory planning
- Contains various numerical examples related to engineering applications
Part of the book series: Lecture Notes in Control and Information Sciences (LNCIS, volume 425)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (10 chapters)
-
Front Matter
-
Back Matter
Keywords
About this book
Sensor networks have recently come into prominence because they hold the potential to revolutionize a wide spectrum of both civilian and military applications. An ingenious characteristic of sensor networks is the distributed nature of data acquisition. Therefore they seem to be ideally prepared for the task of monitoring processes with spatio-temporal dynamics which constitute one of most general and important classes of systems in modelling of the real-world phenomena. It is clear that careful deployment and activation of sensor nodes are critical for collecting the most valuable information from the observed environment.
Optimal Sensor Network Scheduling in Identification of Distributed Parameter Systems discusses the characteristic features of the sensor scheduling problem, analyzes classical and recent approaches, and proposes a wide range of original solutions, especially dedicated for networks with mobile and scanning nodes. Both researchers and practitioners will find the case studies, the proposed algorithms, and the numerical examples to be invaluable.
Authors and Affiliations
Bibliographic Information
Book Title: Optimal Sensor Networks Scheduling in Identification of Distributed Parameter Systems
Authors: Maciej Patan
Series Title: Lecture Notes in Control and Information Sciences
DOI: https://doi.org/10.1007/978-3-642-28230-0
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag GmbH Berlin Heidelberg 2012
Softcover ISBN: 978-3-642-28229-4Published: 24 February 2012
eBook ISBN: 978-3-642-28230-0Published: 23 February 2012
Series ISSN: 0170-8643
Series E-ISSN: 1610-7411
Edition Number: 1
Number of Pages: XIV, 294