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Can I read Optimal Sensor Networks Scheduling In Identification Of Distributed Parameter Systems (lecture Notes In Control And Information Sciences) on EtoBox?

Optimal Sensor Networks Scheduling In Identification Of Distributed Parameter Systems (lecture Notes In Control And Information Sciences) by Maciej Patan (auth.) is a nonfiction available to read on EtoBox.

What is Optimal Sensor Networks Scheduling In Identification Of Distributed Parameter Systems (lecture Notes In Control And Information Sciences) about?

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.

Who reads Optimal Sensor Networks Scheduling In Identification Of Distributed Parameter Systems (lecture Notes In Control And Information Sciences)?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Maciej Patan (auth.)
Publisher
Springer-Verlag Berlin Heidelberg
Published
2012
Language
EN
ISBN
9783642282300
Category
nonfiction
Subjects
Science, Engineering, Stem

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