Overview
- Provides the theory and applications of novel methods developed for multi-sensor systems
- Presents advances in multi-agent systems and AI along with collaborative control theory and tools
- Describes and explains a dual-layer target detection system to overcome problems which algorithms for sensor allocation cannot cope with alone
Part of the book series: Automation, Collaboration, & E-Services (ACES, volume 7)
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Table of contents (11 chapters)
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Front Matter
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Back Matter
Keywords
About this book
Today’s real-world problems and applications in sensory systems and target detection require efficient, comprehensive and fault-tolerant multi-sensor allocation. This book presents the theory and applications of novel methods developed for such sophisticated systems. It discusses the advances in multi-agent systems and AI along with collaborative control theory and tools. Further, it examines the formulation and development of an allocation framework for heterogeneous multi-sensor systems for various real-world problems that require sensors with different performances to allocate multiple tasks, with unknown a priori priorities that arrive at unknown locations at unknown time. It demonstrates how to decide which sensor to allocate to which tasks when and where. Lastly, it explains the reliability and availability issues of task allocation systems, and includes methods for their optimization.
The presented methods are explained, measured, and evaluated by extensive simulations, and the results of these simulations are presented in this book.
This book is an ideal resource for academics, researchers and graduate students as well as engineers and professionals and is relevant for various applications such as sensor network design, multi-agent systems, task allocation, target detection, and team formation.
Authors and Affiliations
Bibliographic Information
Book Title: Distributed Heterogeneous Multi Sensor Task Allocation Systems
Authors: Itshak Tkach, Yael Edan
Series Title: Automation, Collaboration, & E-Services
DOI: https://doi.org/10.1007/978-3-030-34735-2
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-030-34734-5Published: 14 January 2020
Softcover ISBN: 978-3-030-34737-6Published: 14 January 2021
eBook ISBN: 978-3-030-34735-2Published: 25 November 2019
Series ISSN: 2193-472X
Series E-ISSN: 2193-4738
Edition Number: 1
Number of Pages: XV, 139
Topics: Control and Systems Theory, Electronics and Microelectronics, Instrumentation, Multiagent Systems, Computational Intelligence