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Computational Sensor Networks

Authors: Henderson, Thomas

  • Describes a computational framework for sensor networks
  • Discusses how CSNs can be used to develop models to determine the unknown aspects of particular measurement systems given a state of the physical phenomena
  • Discusses how computational sensor networks can be used to model sensor network systems of any sort, including surveillance, environment modeling, structure monitoring, and biomedical monitoring, as well as in data-driven large-scale simulation scenarios
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eBook $109.00
price for USA (gross)
  • ISBN 978-0-387-09643-8
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $139.00
price for USA
  • ISBN 978-0-387-09642-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $139.00
price for USA
  • ISBN 978-1-4419-3501-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

This text proposes a model-based approach to the design and implementation of Computational Sensor Networks (CSNs). This high-level paradigm for the development and application of sensor device networks provides a strong scientific computing foundation, as well as the basis for robust software engineering practices. Building upon a model-based approach the text discusses computational modeling of sensor networks and covers real-time computational mapping that allows for modification of system parameters according to real-time performance measures.

Drawing upon years of theoretical development and practical experience, and using numerous examples and illustrative applications, Thomas Henderson covers the sensor network as a computational science tool and describes:

A computational framework for sensor networks;

Emergent algorithms for cluster formation, coordinate frames, gradients, reaction-diffusion pattern formation, and level set computation in a sensor network;

How CSNs can be used to develop models to probe the structure of the sensor system itself by solving inverse problems based on strong models (e.g., PDEs) of the physical phenomena;

How CSNs can be used to model sensor network systems, including surveillance, environment modeling, structure monitoring, and biomedical monitoring;

Computational Sensor Networks is a must have book for sensor network application engineers, computer engineers, computer scientists and those involved in the development, design and building of sensor networks in an industrial, research and an academic environment.

Table of contents (9 chapters)

  • Coordinate Frames and Gradient Calculation

    Henderson, Thomas C.

    Pages 1-17

  • Bayesian Estimation of Distributed Phenomena

    Henderson, Thomas C.

    Pages 1-33

  • Leadership Algorithms

    Henderson, Thomas C.

    Pages 1-21

  • Logical Sensors and Computational Mapping

    Henderson, Thomas C.

    Pages 1-34

  • Pattern Formation in S-Nets

    Henderson, Thomas C.

    Pages 1-21

Buy this book

eBook $109.00
price for USA (gross)
  • ISBN 978-0-387-09643-8
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $139.00
price for USA
  • ISBN 978-0-387-09642-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $139.00
price for USA
  • ISBN 978-1-4419-3501-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Computational Sensor Networks
Authors
Copyright
2009
Publisher
Springer US
Copyright Holder
Springer-Verlag US
eBook ISBN
978-0-387-09643-8
DOI
10.1007/978-0-387-09643-8
Hardcover ISBN
978-0-387-09642-1
Softcover ISBN
978-1-4419-3501-4
Edition Number
1
Number of Pages
XII, 228
Topics