Vehicular Networks: Applications, Performance Analysis and Challenges, Peter Chong
Автор: Professor Xavier Fernando, Fernando Dr Hasan Farahneh, Farahneh Название: Vehicular applications visible light cp ISBN: 0750322853 ISBN-13(EAN): 9780750322850 Издательство: Неизвестно Рейтинг: Цена: 6207.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: <em>Wireless Technologies in Vehicular Ad Hoc Networks: Present and Future Challenges </em>explores different models for inter-vehicular communication, in which vehicles are equipped with on-board computers that function as nodes in a wireless network. The book covers current theories and applications in physical, medium access, and network layers of IVC systems, exploring inter-vehicle ad-hoc routing protocols and the challenges of predicting vehicular movements, particularly inter-vehicular distance and relative velocity in highly dynamic and varied real-world scenarios.
Автор: Nishu Gupta, Joel J. P. C. Rodrigues, Justin Dauwels Название: Augmented intelligence towards smart vehicular applications ISBN: 0367435462 ISBN-13(EAN): 9780367435462 Издательство: Taylor&Francis Рейтинг: Цена: 22202.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The text discusses the role of artificial intelligence, human-computer interaction, big data analytics, augmented intelligence and edge computing in intelligent transportation systems.
Описание: This book provides a comprehensive treatment of the Poisson line Cox process (PLCP) and its applications to vehicular networks.
The PLCP is constructed by placing points on each line of a Poisson line process (PLP) as per an independent Poisson point process (PPP). For vehicular applications, one can imagine the layout of the road network as a PLP and the vehicles on the roads as the points of the PLCP. First, a brief historical account of the evolution of the theory of PLP is provided to familiarize readers with the seminal contributions in this area. In order to provide a self-contained treatment of this topic, the construction and key fundamental properties of both PLP and PLCP are discussed in detail. The rest of the book is devoted to the applications of these models to a variety of wireless networks, including vehicular communication networks and localization networks. Specifically, modeling the locations of vehicular nodes and roadside units (RSUs) using PLCP, the signal-to-interference-plus-noise ratio (SINR)-based coverage analysis is presented for both ad hoc and cellular network models. For a similar setting, the load on the cellular macro base stations (MBSs) and RSUs in a vehicular network is also characterized analytically. For the localization networks, PLP is used to model blockages, which is shown to facilitate the characterization of asymptotic blind spot probability in a localization application. Finally, the path distance characteristics for a special case of PLCP are analyzed, which can be leveraged to answer critical questions in the areas of transportation networks and urban planning. The book is concluded with concrete suggestions on future directions of research.
Based largely on the original research of the authors, this is the first book that specifically focuses on the self-contained mathematical treatment of the PLCP. The ideal audience of this book is graduate students as well as researchers in academia and industry who are familiar with probability theory, have some exposure to point processes, and are interested in the field of stochastic geometry and vehicular networks. Given the diverse backgrounds of the potential readers, the focus has been on providing an accessible and pedagogical treatment of this topic by consciously avoiding the measure theoretic details without compromising mathematical rigor.
Описание: This book provides a comprehensive treatment of the Poisson line Cox process (PLCP) and its applications to vehicular networks.
The PLCP is constructed by placing points on each line of a Poisson line process (PLP) as per an independent Poisson point process (PPP). For vehicular applications, one can imagine the layout of the road network as a PLP and the vehicles on the roads as the points of the PLCP. First, a brief historical account of the evolution of the theory of PLP is provided to familiarize readers with the seminal contributions in this area. In order to provide a self-contained treatment of this topic, the construction and key fundamental properties of both PLP and PLCP are discussed in detail. The rest of the book is devoted to the applications of these models to a variety of wireless networks, including vehicular communication networks and localization networks. Specifically, modeling the locations of vehicular nodes and roadside units (RSUs) using PLCP, the signal-to-interference-plus-noise ratio (SINR)-based coverage analysis is presented for both ad hoc and cellular network models. For a similar setting, the load on the cellular macro base stations (MBSs) and RSUs in a vehicular network is also characterized analytically. For the localization networks, PLP is used to model blockages, which is shown to facilitate the characterization of asymptotic blind spot probability in a localization application. Finally, the path distance characteristics for a special case of PLCP are analyzed, which can be leveraged to answer critical questions in the areas of transportation networks and urban planning. The book is concluded with concrete suggestions on future directions of research.
Based largely on the original research of the authors, this is the first book that specifically focuses on the self-contained mathematical treatment of the PLCP. The ideal audience of this book is graduate students as well as researchers in academia and industry who are familiar with probability theory, have some exposure to point processes, and are interested in the field of stochastic geometry and vehicular networks. Given the diverse backgrounds of the potential readers, the focus has been on providing an accessible and pedagogical treatment of this topic by consciously avoiding the measure theoretic details without compromising mathematical rigor.
Описание: Roadside Networks for Vehicular Communications: Architectures, Applications, and Test Fields attempts to close the gap between science and technology in the field of roadside backbones for VCNs. This collection will be useful not only for researchers and engineers at universities, but for students in the fields of wireless communication networks, especially vehicular communication networks, and backbone networks as well.
Описание: This book proposes the novel network envisions and framework design principles, in order to systematically expound the next generation vehicular networks, including the modelling, algorithms and practical applications.
Автор: Watfa Mohamed Название: Advances in Vehicular Ad-Hoc Networks: Developments and Challenges ISBN: 1615209131 ISBN-13(EAN): 9781615209132 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 22572.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Examines the research challenges that hinder a fully deployable vehicular network. This unique reference presents a unified treatment of the various aspects of Vehicular Ad Hoc Networks and is essential reading for university professors and researchers working in the automobile industry.
Автор: Ning Lu; Xuemin (Sherman) Shen Название: Capacity Analysis of Vehicular Communication Networks ISBN: 1461483964 ISBN-13(EAN): 9781461483960 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This SpringerBrief focuses on the network capacity analysis of VANETs, a key topic as fundamental guidance on design and deployment of VANETs is very limited. This SpringerBrief first introduces capacity scaling laws for wireless networks and briefly reviews the prior arts in deriving the capacity of VANETs.
Автор: Nanhay Singh, Omprakash Kaiwartya, Ram Shringar Rao, Sanjoy Das Название: Cloud-Based Big Data Analytics in Vehicular Ad-Hoc Networks ISBN: 1799827658 ISBN-13(EAN): 9781799827658 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 24948.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Vehicular traffic congestion and accidents remain universal issues in today's world. Due to the continued growth in the use of vehicles, optimizing traffic management operations is an immense challenge. To reduce the number of traffic accidents, improve the performance of transportation systems, enhance road safety, and protect the environment, vehicular ad-hoc networks have been introduced. Current developments in wireless communication, computing paradigms, big data, and cloud computing enable the enhancement of these networks, equipped with wireless communication capabilities and high-performance processing tools.
Cloud-Based Big Data Analytics in Vehicular Ad-Hoc Networks is a pivotal reference source that provides vital research on cloud and data analytic applications in intelligent transportation systems. While highlighting topics such as location routing, accident detection, and data warehousing, this publication addresses future challenges in vehicular ad-hoc networks and presents viable solutions. This book is ideally designed for researchers, computer scientists, engineers, automobile industry professionals, IT practitioners, academicians, and students seeking current research on cloud computing models in vehicular networks.
Автор: Nanhay Singh, Omprakash Kaiwartya, Ram Shringar Rao, Sanjoy Das Название: Cloud-Based Big Data Analytics in Vehicular Ad-Hoc Networks ISBN: 179982764X ISBN-13(EAN): 9781799827641 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 32987.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Vehicular traffic congestion and accidents remain universal issues in today's world. Due to the continued growth in the use of vehicles, optimizing traffic management operations is an immense challenge. To reduce the number of traffic accidents, improve the performance of transportation systems, enhance road safety, and protect the environment, vehicular ad-hoc networks have been introduced. Current developments in wireless communication, computing paradigms, big data, and cloud computing enable the enhancement of these networks, equipped with wireless communication capabilities and high-performance processing tools.
Cloud-Based Big Data Analytics in Vehicular Ad-Hoc Networks is a pivotal reference source that provides vital research on cloud and data analytic applications in intelligent transportation systems. While highlighting topics such as location routing, accident detection, and data warehousing, this publication addresses future challenges in vehicular ad-hoc networks and presents viable solutions. This book is ideally designed for researchers, computer scientists, engineers, automobile industry professionals, IT practitioners, academicians, and students seeking current research on cloud computing models in vehicular networks.
Описание: This book offers a systematic treatment of the theory for hyperbolic conservation laws and their applications to vehicular traffic and crowd dynamics. Presents important new techniques, including the wave front tracking algorithm and many examples and figures.
ООО "Логосфера " Тел:+7(495) 980-12-10 www.logobook.ru
