Ebook: Sensors: Theory, Algorithms, and Applications

In recent years, technological advances have resulted in the rapid development of a new exciting research direction --- the interdisciplinary use of sensors for data collection, systems analysis, and monitoring. Application areas include environmental monitoring, military surveillance, computational neuroscience, seismic detection, and many more. Among the research areas considered, sensor networks represent a very active area, as well as work on problems such as sensor networks, sensor network localization, and network design. They are also related to optimization problems that have multiple applications and require interdisciplinary techniques from several fields. Additionally, neuroscientists use sensors to collect data during tests which record brain activity. These highly calibrated sensors require precision engineering techniques play an important role in analyzing and integrating large datasets.

The purpose of this book is to bring together recent developments of both theoreticians and practitioners representing various fields from engineering, computer science, biomedicine, and the military, share knowledge, ideas, and techniques regarding the state-of-the-art sensor research.

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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.

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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.

Content:
Front Matter....Pages i-x
Front Matter....Pages 1-1
On Enhancing Fault Tolerance of Virtual Backbone in a Wireless Sensor Network with Unidirectional Links....Pages 3-18
Constrained Node Placement and Assignment in Mobile Backbone Networks....Pages 19-35
Canonical Dual Solutions to Sum of Fourth-Order Polynomials Minimization Problems with Applications to Sensor Network Localization....Pages 37-54
Front Matter....Pages 55-55
Optimal Estimation of Multidimensional Data with Limited Measurements....Pages 57-82
Information Patterns in Discrete-Time Linear-Quadratic Dynamic Games....Pages 83-117
The Design of Dynamical Inquiring Systems: A Certainty Equivalent Formalization....Pages 119-141
Front Matter....Pages 143-143
Sensors in Transportation and Logistics Networks....Pages 145-163
Study of Mobile Mixed Sensing Networks in an Automotive Context....Pages 165-198
Navigation in Difficult Environments: Multi-Sensor Fusion Techniques....Pages 199-229
A Spectral Clustering Approach for Modeling Connectivity Patterns in Electroencephalogram Sensor Networks....Pages 231-242

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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.

Content:
Front Matter....Pages i-x
Front Matter....Pages 1-1
On Enhancing Fault Tolerance of Virtual Backbone in a Wireless Sensor Network with Unidirectional Links....Pages 3-18
Constrained Node Placement and Assignment in Mobile Backbone Networks....Pages 19-35
Canonical Dual Solutions to Sum of Fourth-Order Polynomials Minimization Problems with Applications to Sensor Network Localization....Pages 37-54
Front Matter....Pages 55-55
Optimal Estimation of Multidimensional Data with Limited Measurements....Pages 57-82
Information Patterns in Discrete-Time Linear-Quadratic Dynamic Games....Pages 83-117
The Design of Dynamical Inquiring Systems: A Certainty Equivalent Formalization....Pages 119-141
Front Matter....Pages 143-143
Sensors in Transportation and Logistics Networks....Pages 145-163
Study of Mobile Mixed Sensing Networks in an Automotive Context....Pages 165-198
Navigation in Difficult Environments: Multi-Sensor Fusion Techniques....Pages 199-229
A Spectral Clustering Approach for Modeling Connectivity Patterns in Electroencephalogram Sensor Networks....Pages 231-242
....