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Sensors: Theory, Algorithms, and Applications

  • Vladimir L. Boginski
  • Clayton W. Commander
  • Panos M. Pardalos
  • Yinyu Ye

Part of the Springer Optimization and Its Applications book series (SOIA, volume 61)

Table of contents

  1. Front Matter
    Pages i-x
  2. Models and Algorithms for Ensuring Efficient Performance of Sensor Networks

  3. Theoretical Aspects of Analyzing Information Patterns

    1. Front Matter
      Pages 55-55
    2. William MacKunis, J. Willard Curtis, Pia E. K. Berg-Yuen
      Pages 57-82
  4. Sensors in Real-World Applications

    1. Front Matter
      Pages 143-143
    2. Chrysafis Vogiatzis
      Pages 145-163
    3. Animesh Chakravarthy, Kyungyeol Song, Jaime Peraire, Eric Feron
      Pages 165-198
    4. Andrey Soloviev, Mikel M. Miller
      Pages 199-229
    5. Petros Xanthopoulos, Ashwin Arulselvan, Panos M. Pardalos
      Pages 231-242

About this book

Introduction

In recent years, technological advances have resulted in the rapid development of a new and exciting research direction – the interdisciplinary use of sensors for data collection, systems analysis, and monitoring. These highly calibrated sensors require precision engineering techniques that play an important role in analyzing and integrating large datasets. Sensor networks in particular represent a very active area of research, including work on problems such as sensor network localization and network design. Application areas for sensors and sensor networks include environmental monitoring, military surveillance, computational neuroscience, seismic detection, and a great deal more.

 

The fundamental problems of utilizing the collected data for efficient system operation and decision making encompasses multiple research areas, including applied mathematics, optimization, signal/image processing, as well as emerging areas that require interdisciplinary techniques from several fields of research.

 

Sensors: Theory, Algorithms, and Applications brings together recent developments from researchers representing various fields from engineering, mathematics, and computer science, along with application areas of biomedicine, transportation, and military systems. This volume is ideal for scientists, practitioners, and graduate students who are interested in the knowledge, ideas, and techniques involved in state-of-the-art sensor research.

Keywords

communication computational neuroscience data mining military applications optimization sensor networks

Editors and affiliations

  • Vladimir L. Boginski
    • 1
  • Clayton W. Commander
    • 2
  • Panos M. Pardalos
    • 3
  • Yinyu Ye
    • 4
  1. 1., Department of Industrial and Systems EngUniversity of FloridaGainesvilleUSA
  2. 2.Munitions Directorate, Air Force Research LaboratoryEglin Air Force BaseEglin AFBUSA
  3. 3.Dept. Industrial & Systems, EngineeringUniversity of FloridaGainesvilleUSA
  4. 4.School of Engineering, Department of Management Science and EngStanford UniversityStanfordUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-0-387-88619-0
  • Copyright Information Springer Science+Business Media, LLC 2012
  • Publisher Name Springer, New York, NY
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-0-387-88618-3
  • Online ISBN 978-0-387-88619-0
  • Series Print ISSN 1931-6828
  • Buy this book on publisher's site