Distributed Heterogeneous Multi Sensor Task Allocation Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Distributed Heterogeneous Multi Sensor Task Allocation Systems write by Itshak Tkach. This book was released on 2019-11-25. Distributed Heterogeneous Multi Sensor Task Allocation Systems available in PDF, EPUB and Kindle. 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.
Deep Learning Strategies for Security Enhancement in Wireless Sensor Networks
Deep Learning Strategies for Security Enhancement in Wireless Sensor Networks - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Deep Learning Strategies for Security Enhancement in Wireless Sensor Networks write by Sagayam, K. Martin. This book was released on 2020-06-12. Deep Learning Strategies for Security Enhancement in Wireless Sensor Networks available in PDF, EPUB and Kindle. Wireless sensor networks have gained significant attention industrially and academically due to their wide range of uses in various fields. Because of their vast amount of applications, wireless sensor networks are vulnerable to a variety of security attacks. The protection of wireless sensor networks remains a challenge due to their resource-constrained nature, which is why researchers have begun applying several branches of artificial intelligence to advance the security of these networks. Research is needed on the development of security practices in wireless sensor networks by using smart technologies. Deep Learning Strategies for Security Enhancement in Wireless Sensor Networks provides emerging research exploring the theoretical and practical advancements of security protocols in wireless sensor networks using artificial intelligence-based techniques. Featuring coverage on a broad range of topics such as clustering protocols, intrusion detection, and energy harvesting, this book is ideally designed for researchers, developers, IT professionals, educators, policymakers, practitioners, scientists, theorists, engineers, academicians, and students seeking current research on integrating intelligent techniques into sensor networks for more reliable security practices.
Instantaneous Multi-sensor Task Allocation in Static and Dynamic Environments
Instantaneous Multi-sensor Task Allocation in Static and Dynamic Environments - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Instantaneous Multi-sensor Task Allocation in Static and Dynamic Environments write by Diego Pizzocaro. This book was released on 2011. Instantaneous Multi-sensor Task Allocation in Static and Dynamic Environments available in PDF, EPUB and Kindle. A sensor network often consists of a large number of sensing devices of different types. Upon deployment in the field, these sensing devices form an ad hoc network using wireless links or cables to communicate with each other. Sensor networks are increasingly used to support emergency responders in the field usually requiring many sensing tasks to be supported at the same time. By a sensing task we mean any job that requires some amount of sensing resources to be accomplished such as localizing persons in need of help or detecting an event. Tasks might share the usage of a sensor, but more often compete to exclusively control it because of the limited number of sensors and overlapping needs with other tasks. Sensors are in fact scarce and in high demand. In such cases, it might not be possible to satisfy the requirements of all tasks using available sensors. Therefore, the fundamental question to answer is: "Which sensor should be allocated to which task?", which summarizes the Multi-Sensor Task Allocation (MSTA) problem. We focus on a particular MSTA instance where the environment does not provide enough information to plan for future allocations constraining us to perform instantaneous allocation. We look at this problem in both static setting, where all task requests from emergency responders arrive at once, and dynamic setting, where tasks arrive and depart over time. We provide novel solutions based on centralized and distributed approaches. We evaluate their performance using mainly simulations on randomly generated problem instances; moreover, for the dynamic setting, we consider also feasibility of deploying part of the distributed allocation system on user mobile devices. Our solutions scale well with different number of task requests and manage to improve the utility of the network, prioritizing the most important tasks.
Systems Collaboration and Integration
Systems Collaboration and Integration - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Systems Collaboration and Integration write by Chin-Yin Huang. This book was released on 2023-10-17. Systems Collaboration and Integration available in PDF, EPUB and Kindle. This book is a groundbreaking exploration of the historical and contemporary challenges in systems collaboration and integration. This exceptional book delves into engineering design, planning, control, and management, offering invaluable insights into the evolving nature of systems and networks. In an era defined by the ongoing cyber and digital transformation, coupled with artificial intelligence and machine learning, this book offers insights into the future of systems collaboration and integration. Over the past three decades, the PRISM Center and its affiliated PRISM Global Research Network (PGRN) have spearheaded pioneering theories, technologies, and applications in the realm of systems collaboration and integration. Their research, driven by the motto “Knowledge through information; Wisdom through collaboration,” has yielded remarkable advancements. Those achievements and papers presented and updated by the PGRN scholars in the 26th ICPR are included in this book.
Supply Network Dynamics and Control
Supply Network Dynamics and Control - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Supply Network Dynamics and Control write by Alexandre Dolgui. This book was released on 2022-10-08. Supply Network Dynamics and Control available in PDF, EPUB and Kindle. This book provides a comprehensive overview of recent developments in network dynamics and control with applications to supply chains, manufacturing and logistics systems. It systemizes these developments in the form of new taxonomies and methodological principles to shape the research domain of supply network dynamics control. Uniquely, the book links the fundamentals of control and system theories and artificial intelligence with supply chain and operations management. It addresses the needs of researchers and practitioners alike, revealing the challenges and opportunities of supply chain and operations management by means of dynamic system analysis.
