Optimal Sensor Networks Scheduling in Identification of Distributed Parameter Systems

  • Maciej Patan

Part of the Lecture Notes in Control and Information Sciences book series (LNCIS, volume 425)

Table of contents

  1. Front Matter
    Pages 1-11
  2. Maciej Patan
    Pages 1-10
  3. Maciej Patan
    Pages 11-46
  4. Maciej Patan
    Pages 47-95
  5. Maciej Patan
    Pages 97-134
  6. Maciej Patan
    Pages 155-182
  7. Maciej Patan
    Pages 261-266
  8. Back Matter
    Pages 0--1

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.


Distributed Parameter Systems Optimal Sensor Networks Scheduling Sensor Networks Sensor Scheduling

Authors and affiliations

  • Maciej Patan
    • 1
  1. 1., Institute of Control and Computation EngThe University of Zielona GóraZielona GóraPoland

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag GmbH Berlin Heidelberg 2012
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-3-642-28229-4
  • Online ISBN 978-3-642-28230-0
  • Series Print ISSN 0170-8643
  • Series Online ISSN 1610-7411
  • Buy this book on publisher's site