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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.
List of contents
Preface.- On Enhancing Fault Tolerance of Virtual Backbone in a Wireless Sensor Network with Unidirectional Links (R. Tiwari, M.T. Thai).- Constrained Node Placement and Assignment in Mobile Backbone Networks (E.M. Craparo).- Canonical Dual Solutions to Sum of Fourth-Order Polynomials Minimization Problems with Applications to Sensor Network Localization (D.Y. Gao, N. Ruan, P.M. Pardalos).- Optimal Estimation of Multidimensional Data with Limited Measurements (W. MacKunis, J. W. Curtis, P.E.K. Berg-Yuen).- Informational Patterns in Discrete-Time Linear-Quadratic Dynamic Games (M. Pachter, K.D. Pham).- The Design of Dynamical Inquiring Systems: A Certainty Equivalent Formalization (L. Di Giacomo, G. Patrizi).- Sensors in Transportation and Logistics Networks (C. Vogiatzis).- Study of Mobile Mixed Sensing Networks in an Automotive Context (A. Chakravarthy, K. Song, J. Peraire, E. Feron).- Navigation in Difficult Environments: Multi-Sensor Fusion Techniques (A. Soloviev, M. M. Miller).- A Spectral Clustering Approach for Modeling Connectivity Patterns in Electroencephalogram Sensor Networks (P. Xanthopoulos, A. Arulselvan, P. M. Pardalos.).
Summary
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.
