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We are stepping into an exciting age of vehicular technologies with breathtaking technology advances in both connected and automated vehicles lately. The automotive industry, academia and government have worked closely together over the last decade to bring vehicle-to-vehicle and vehicle-to-infrastructure technologies to improve vehicular safety. Meanwhile, recent technology advances in sensors, computer vision and deep learning have made autonomous driving within reach. With the anticipated U.S. government mandate on V2X technologies, it has been more interesting than ever to have a fresh look of how to leverage V2X communications and how to combine communications and conventional sensor technologies through camera, radar and lidar, to provide connectivity, rich sensing and perception, and robust localization to reach a high level of vehicle automation. CarSys 2016 is targeted to bring together leading researchers from both industry and academics to exchange new ideas and expand the horizon of vehicular communications in this new era.
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With the explosive increase in the number of mobile devices and applications, it is anticipated that wireless traffic will increase exponentially in the coming years. Moreover, future wireless networks all carry a wide variety of flows, such as video streaming, online gaming, and VoIP, which have various quality of service (QoS) requirements. Therefore, a new mechanism that can provide satisfactory performance to the complete variety of all kinds of flows, in a coherent and unified framework, is needed. In this book, we introduce a framework for real-time wireless networks. This consists of a model that jointly addresses several practical concerns for real-time wireless networks, including per-packet delay bounds, throughput requirements, and heterogeneity of wireless channels. We detail how this framework can be employed to address a wide range of problems, including admission control, packet scheduling, and utility maximization. Table of Contents: Preface / Introduction / A Study of the Base Case / Admission Control / Scheduling Policies / Utility Maximization without Rate Adaptation / Utility Maximization with Rate Adaptation / Systems with Both Real-Time Flows and Non-Real-Time Flows / Broadcasting and Network Coding / Bibliography / Authors' Biographies.
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Introducing the reader to the mathematics beyond complex networked systems, these lecture notes investigate graph theory, graphical models, and methods from statistical physics. Complex networked systems play a fundamental role in our society, both in everyday life and in scientific research, with applications ranging from physics and biology to economics and finance. The book is self-contained, and requires only an undergraduate mathematical background.
Mathematics. --- Complex Systems. --- Graph Theory. --- Mathematical Applications in the Physical Sciences. --- Complex Networks. --- Mathématiques --- Civil & Environmental Engineering --- Engineering & Applied Sciences --- Operations Research --- System theory. --- Mathematical physics. --- Graph theory. --- Physics. --- Natural philosophy --- Philosophy, Natural --- Physical sciences --- Dynamics --- Graph theory --- Graphs, Theory of --- Theory of graphs --- Combinatorial analysis --- Topology --- Physical mathematics --- Physics --- Systems, Theory of --- Systems science --- Science --- Math --- Extremal problems --- Mathematics --- Philosophy --- Applications of Graph Theory and Complex Networks.
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