© 2012

Sensors: Theory, Algorithms, and Applications

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


  • Includes state-of-the-art research articles in sensor networks and its applications

  • Highlights recent advances, current working developments in the field, and future directions

  • Provides interdisciplinary problems and real-world applications in environmental monitoring, military surveillance, computational neuroscience, seismic detection, and many more


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


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.


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

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