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This book focuses on the design, management, and cybersecurity of connected and autonomous vehicles under the umbrella of the Internet of Vehicles. Both principles and engineering practice are covered, from the design perspectives of communication, computing, and perception to ITS management. An in-depth study of a range of topics such as microscopic traffic behavior modeling and simulation, localization, V2X communication, cooperative cloud-edge computing, and multi-sensor fusion for perception has been presented, while novel enabling technologies such as RIS and blockchain are introduced. The book benefits researchers, engineers, and graduate students in the fields of intelligent transport systems, telecommunications, cybersecurity, and autonomous driving.
Book Synopsis Communication, Computation and Perception Technologies for Internet of Vehicles by : Yongdong Zhu
Download or read book Communication, Computation and Perception Technologies for Internet of Vehicles written by Yongdong Zhu and published by Springer Nature. This book was released on 2023-10-31 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on the design, management, and cybersecurity of connected and autonomous vehicles under the umbrella of the Internet of Vehicles. Both principles and engineering practice are covered, from the design perspectives of communication, computing, and perception to ITS management. An in-depth study of a range of topics such as microscopic traffic behavior modeling and simulation, localization, V2X communication, cooperative cloud-edge computing, and multi-sensor fusion for perception has been presented, while novel enabling technologies such as RIS and blockchain are introduced. The book benefits researchers, engineers, and graduate students in the fields of intelligent transport systems, telecommunications, cybersecurity, and autonomous driving.
This is an open access book. It offers comprehensive, self-contained knowledge on Mobile Edge Computing (MEC), which is a very promising technology for achieving intelligence in the next-generation wireless communications and computing networks.The book starts with the basic concepts, key techniques and network architectures of MEC. Then, we present the wide applications of MEC, including edge caching, 6G networks, Internet of Vehicles, and UAVs. In the last part, we present new opportunities when MEC meets blockchain, Artificial Intelligence, and distributed machine learning (e.g., federated learning). We also identify the emerging applications of MEC in pandemic, industrial Internet of Things and disaster management.The book allows an easy cross-reference owing to the broad coverage on both the principle and applications of MEC. The book is written for people interested in communications and computer networks at all levels. The primary audience includes senior undergraduates, postgraduates, educators, scientists, researchers, developers, engineers, innovators and research strategists.
Book Synopsis Mobile Edge Computing by : Yan Zhang
Download or read book Mobile Edge Computing written by Yan Zhang and published by Springer Nature. This book was released on 2021-10-01 with total page 123 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is an open access book. It offers comprehensive, self-contained knowledge on Mobile Edge Computing (MEC), which is a very promising technology for achieving intelligence in the next-generation wireless communications and computing networks.The book starts with the basic concepts, key techniques and network architectures of MEC. Then, we present the wide applications of MEC, including edge caching, 6G networks, Internet of Vehicles, and UAVs. In the last part, we present new opportunities when MEC meets blockchain, Artificial Intelligence, and distributed machine learning (e.g., federated learning). We also identify the emerging applications of MEC in pandemic, industrial Internet of Things and disaster management.The book allows an easy cross-reference owing to the broad coverage on both the principle and applications of MEC. The book is written for people interested in communications and computer networks at all levels. The primary audience includes senior undergraduates, postgraduates, educators, scientists, researchers, developers, engineers, innovators and research strategists.
This book investigates intelligent network resource management for IoV, with the objective of maximizing the communication and computing performance of vehicle users. Focusing on two representative use cases in IoV, i.e., safety message broadcast and autonomous driving, the authors propose link-layer protocol design and application-layer computing task scheduling to achieve the objective given the unique characteristics and requirements of IoV. In particular, this book illustrates the challenges of resource management for IoV due to network dynamics, such as time-varying traffic intensity and vehicle mobility, and presents intelligent resource management solutions to adapt to the network dynamics. The Internet of Vehicles (IoV) enables vehicle-to-everything connectivity and supports a variety of applications for vehicles on the road. Intelligent resource management is critical for satisfying demanding communication and computing requirements on IoV, while the highly dynamic network environments pose challenges to the design of resource management schemes. This book provides insights into the significance of adaptive resource management in improving the performance of IoV. The customized communication protocol and computing scheduling scheme are designed accordingly by taking the network dynamics information as an integral design factor. Moreover, the decentralized designs of the proposed solutions guarantee low signaling overhead and high scalability. A comprehensive literature review summarizing recent resource management schemes in IoV, followed by the customized design of communication and computing solutions for the two IoV use cases is included which can serve as a useful reference for professionals from both academia and industry in the area of IoV and resource management. Researchers working within this field and computer science and electrical engineering students will find this book useful as well.
Book Synopsis Intelligent Computing and Communication for the Internet of Vehicles by : Mushu Li
Download or read book Intelligent Computing and Communication for the Internet of Vehicles written by Mushu Li and published by Springer Nature. This book was released on 2023-01-04 with total page 90 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book investigates intelligent network resource management for IoV, with the objective of maximizing the communication and computing performance of vehicle users. Focusing on two representative use cases in IoV, i.e., safety message broadcast and autonomous driving, the authors propose link-layer protocol design and application-layer computing task scheduling to achieve the objective given the unique characteristics and requirements of IoV. In particular, this book illustrates the challenges of resource management for IoV due to network dynamics, such as time-varying traffic intensity and vehicle mobility, and presents intelligent resource management solutions to adapt to the network dynamics. The Internet of Vehicles (IoV) enables vehicle-to-everything connectivity and supports a variety of applications for vehicles on the road. Intelligent resource management is critical for satisfying demanding communication and computing requirements on IoV, while the highly dynamic network environments pose challenges to the design of resource management schemes. This book provides insights into the significance of adaptive resource management in improving the performance of IoV. The customized communication protocol and computing scheduling scheme are designed accordingly by taking the network dynamics information as an integral design factor. Moreover, the decentralized designs of the proposed solutions guarantee low signaling overhead and high scalability. A comprehensive literature review summarizing recent resource management schemes in IoV, followed by the customized design of communication and computing solutions for the two IoV use cases is included which can serve as a useful reference for professionals from both academia and industry in the area of IoV and resource management. Researchers working within this field and computer science and electrical engineering students will find this book useful as well.
This book provides an insight on the importance that Internet of Vehicles (IoV) solutions can have in taking care of vehicular safety through internetworking and automation. Key features of the book are the inclusion and elaboration of recent and emerging developments in various specializations of intelligent transportation systems and their solutions by incorporating IoT (Internet of Things) and IoV. This book presents to its readers useful IoV applications and architectures that cater to their improved driving requirements and lead towards autonomous driving. The application domains have a large range in which vehicular networking, communication technology, sensor devices, computing materials and devices, IoT communication, vehicular and on-road safety, data security and other topics are included.
Book Synopsis Internet of Vehicles and its Applications in Autonomous Driving by : Nishu Gupta
Download or read book Internet of Vehicles and its Applications in Autonomous Driving written by Nishu Gupta and published by Springer Nature. This book was released on 2020-09-18 with total page 193 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an insight on the importance that Internet of Vehicles (IoV) solutions can have in taking care of vehicular safety through internetworking and automation. Key features of the book are the inclusion and elaboration of recent and emerging developments in various specializations of intelligent transportation systems and their solutions by incorporating IoT (Internet of Things) and IoV. This book presents to its readers useful IoV applications and architectures that cater to their improved driving requirements and lead towards autonomous driving. The application domains have a large range in which vehicular networking, communication technology, sensor devices, computing materials and devices, IoT communication, vehicular and on-road safety, data security and other topics are included.
This book introduces the Internet access for vehicles as well as novel communication and computing paradigms based on the Internet of vehicles. To enable efficient and reliable Internet connection for mobile vehicle users, this book first introduces analytical modelling methods for the practical vehicle-to-roadside (V2R) Internet access procedure, and employ the interworking of V2R and vehicle-to-vehicle (V2V) to improve the network performance for a variety of automotive applications. In addition, the wireless link performance between a vehicle and an Internet access station is investigated, and a machine learning based algorithm is proposed to improve the link throughout by selecting an efficient modulation and coding scheme. This book also investigates the distributed machine learning algorithms over the Internet access of vehicles. A novel broadcasting scheme is designed to intelligently adjust the training users that are involved in the iteration rounds for an asynchronous federated learning scheme, which is shown to greatly improve the training efficiency. This book conducts the fully asynchronous machine learning evaluations among vehicle users that can utilize the opportunistic V2R communication to train machine learning models. Researchers and advanced-level students who focus on vehicular networks, industrial entities for internet of vehicles providers, government agencies target on transportation system and road management will find this book useful as reference. Network device manufacturers and network operators will also want to purchase this book.
Book Synopsis Internet Access in Vehicular Networks by : Wenchao Xu
Download or read book Internet Access in Vehicular Networks written by Wenchao Xu and published by Springer Nature. This book was released on 2021-11-18 with total page 175 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces the Internet access for vehicles as well as novel communication and computing paradigms based on the Internet of vehicles. To enable efficient and reliable Internet connection for mobile vehicle users, this book first introduces analytical modelling methods for the practical vehicle-to-roadside (V2R) Internet access procedure, and employ the interworking of V2R and vehicle-to-vehicle (V2V) to improve the network performance for a variety of automotive applications. In addition, the wireless link performance between a vehicle and an Internet access station is investigated, and a machine learning based algorithm is proposed to improve the link throughout by selecting an efficient modulation and coding scheme. This book also investigates the distributed machine learning algorithms over the Internet access of vehicles. A novel broadcasting scheme is designed to intelligently adjust the training users that are involved in the iteration rounds for an asynchronous federated learning scheme, which is shown to greatly improve the training efficiency. This book conducts the fully asynchronous machine learning evaluations among vehicle users that can utilize the opportunistic V2R communication to train machine learning models. Researchers and advanced-level students who focus on vehicular networks, industrial entities for internet of vehicles providers, government agencies target on transportation system and road management will find this book useful as reference. Network device manufacturers and network operators will also want to purchase this book.
CLOUD AND IOT-BASED VEHICULAR AD HOC NETWORKS This book details the architecture behind smart cars being fitted and connected with vehicular cloud computing, IoT and VANET as part of the intelligent transport system (ITS). As technology continues to weave itself more tightly into everyday life, socioeconomic development has become intricately tied to ever-evolving innovations. An example of this is the technology being developed to address the massive increase in the number of vehicles on the road, which has resulted in more traffic congestion and road accidents. This challenge is being addressed by developing new technologies to optimize traffic management operations. This book describes the state-of-the-art of the recent developments of Internet of Things (IoT) and cloud computing-based concepts that have been introduced to improve Vehicular Ad-Hoc Networks (VANET) with advanced cellular networks such as 5G networks and vehicular cloud concepts. 5G cellular networks provide consistent, faster and more reliable connections within the vehicular mobile nodes. By 2030, 5G networks will deliver the virtual reality content in VANET which will support vehicle navigation with real time communications capabilities, improving road safety and enhanced passenger comfort. In particular, the reader will learn: A range of new concepts in VANETs, integration with cloud computing and IoT, emerging wireless networking and computing models New VANET architecture, technology gap, business opportunities, future applications, worldwide applicability, challenges and drawbacks Details of the significance of 5G Networks in VANET, vehicular cloud computing, edge (fog) computing based on VANET. Audience The book will be widely used by researchers, automotive industry engineers, technology developers, system architects, IT specialists, policymakers and students.
Book Synopsis Cloud and IoT-Based Vehicular Ad Hoc Networks by : Gurinder Singh
Download or read book Cloud and IoT-Based Vehicular Ad Hoc Networks written by Gurinder Singh and published by John Wiley & Sons. This book was released on 2021-05-11 with total page 434 pages. Available in PDF, EPUB and Kindle. Book excerpt: CLOUD AND IOT-BASED VEHICULAR AD HOC NETWORKS This book details the architecture behind smart cars being fitted and connected with vehicular cloud computing, IoT and VANET as part of the intelligent transport system (ITS). As technology continues to weave itself more tightly into everyday life, socioeconomic development has become intricately tied to ever-evolving innovations. An example of this is the technology being developed to address the massive increase in the number of vehicles on the road, which has resulted in more traffic congestion and road accidents. This challenge is being addressed by developing new technologies to optimize traffic management operations. This book describes the state-of-the-art of the recent developments of Internet of Things (IoT) and cloud computing-based concepts that have been introduced to improve Vehicular Ad-Hoc Networks (VANET) with advanced cellular networks such as 5G networks and vehicular cloud concepts. 5G cellular networks provide consistent, faster and more reliable connections within the vehicular mobile nodes. By 2030, 5G networks will deliver the virtual reality content in VANET which will support vehicle navigation with real time communications capabilities, improving road safety and enhanced passenger comfort. In particular, the reader will learn: A range of new concepts in VANETs, integration with cloud computing and IoT, emerging wireless networking and computing models New VANET architecture, technology gap, business opportunities, future applications, worldwide applicability, challenges and drawbacks Details of the significance of 5G Networks in VANET, vehicular cloud computing, edge (fog) computing based on VANET. Audience The book will be widely used by researchers, automotive industry engineers, technology developers, system architects, IT specialists, policymakers and students.
This book focuses on cellular Vehicle-to-Everything (C-V2X), currently the most promising wireless communication technology for Vehicle-to-Vehicle (V2V), Vehicle-to-Infrastructure (V2I), Vehicle-to-Pedestrian (V2P), Vehicle-to-Network (V2N) and Vehicle-to-Cloud (V2C) communications. Because of its low latency and high reliability, C-V2X has become an essential enabling technology for Intelligent Transportation Systems (ITSs) and autonomous driving. This book begins by introducing readers to the research background and status quo of global development. Then, after analyzing the performance requirements of various V2X applications, the system architecture and technical standards are presented. The two evolving stages of C-V2X, i.e., LTE-V2X and NR-V2X, are introduced in detail. In addition, related technologies such as mobile edge computing, network slicing and high-precision positioning, C-V2X security, C-V2X spectrum requirements and planning, and industrial development and applications are introduced. In closing, the book discusses future applications of and technical challenges for C-V2X. This book is the first monograph dedicated to C-V2X, offering experts, researchers and engineers from the areas of IT/CT, intelligent transportation, intelligent and connected vehicles (ICVs) an in-depth understanding of C-V2X technology and standards, while also outlining related interdisciplinary research. The book can also be used as a reference resource for both undergraduate and graduate studies.
Book Synopsis Cellular Vehicle-to-Everything (C-V2X) by : Shanzhi Chen
Download or read book Cellular Vehicle-to-Everything (C-V2X) written by Shanzhi Chen and published by Springer Nature. This book was released on 2023-01-01 with total page 410 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on cellular Vehicle-to-Everything (C-V2X), currently the most promising wireless communication technology for Vehicle-to-Vehicle (V2V), Vehicle-to-Infrastructure (V2I), Vehicle-to-Pedestrian (V2P), Vehicle-to-Network (V2N) and Vehicle-to-Cloud (V2C) communications. Because of its low latency and high reliability, C-V2X has become an essential enabling technology for Intelligent Transportation Systems (ITSs) and autonomous driving. This book begins by introducing readers to the research background and status quo of global development. Then, after analyzing the performance requirements of various V2X applications, the system architecture and technical standards are presented. The two evolving stages of C-V2X, i.e., LTE-V2X and NR-V2X, are introduced in detail. In addition, related technologies such as mobile edge computing, network slicing and high-precision positioning, C-V2X security, C-V2X spectrum requirements and planning, and industrial development and applications are introduced. In closing, the book discusses future applications of and technical challenges for C-V2X. This book is the first monograph dedicated to C-V2X, offering experts, researchers and engineers from the areas of IT/CT, intelligent transportation, intelligent and connected vehicles (ICVs) an in-depth understanding of C-V2X technology and standards, while also outlining related interdisciplinary research. The book can also be used as a reference resource for both undergraduate and graduate studies.
For decades, researchers on Vehicular Ad-hoc Networks vehicular ad-hoc networks (VANETs) and autonomous vehicles presented various solutions for vehicular safety and autonomy, respectively. Yet, the developed work in these two areas has been mostly conducted in their own separate worlds, and barely affect one-another despite the obvious relation- ships. In the coming years, the Internet of Vehicles Internet of Vehicles (IOV), encompassing sensing, communications, connectivity, processing, networking, and computation is expected to bridge many technologies to offer value-added information for the navi- gation of self-driving vehicles, to reduce vehicle on board computation, and to deliver desired functionalities. Potentials for bridging the gap between these two worlds and creating synergies of these two technologies have recently started to attract significant attention of many companies and government agencies. We present a comprehensive survey and an overview of the emerging key challenges related to the two worlds of Vehicular Clouds (VCs) including communications, networking, traffic modelling, medium access, VC Computing Vehicular Cloud Computing (VCC), VC collation strategies, secu- rity issues, and autonomous driving Autonomous Driving (AD) including 3D environment learning approaches and AD enabling deep-learning, computer vision and Artificial Intel- ligence Artificial Intelligence (AI) techniques. We then discuss the recent related work and potential trends on merging these two worlds in order to enrich vehicle cognition of its surroundings, and enable safer and more informed and coordinated AD systems. Modern vehicles are equipped with advanced communication, computation and storage capabilities in On-Board Units (OBUs), that are used to form a Vehicular Cloud Vehicular Cloud (VC) as coalitions of affordable resources to host infotainment applications. With the limitation of static vehicular communication schemes and the computational capa- bilities constraints in vehicular micro-datacenter, VCs have overcome these technological limitations. VCs are supposed to maximize the usage of Vehicle to Infrastructure (V2I) communications over Service Channels (SCHs) for non-safety applications while maintaining reliable short-lived safety applications Vehicle to Vehicle Vehicle-to-Vehicle (V2V) communications in the Dedicated Short Range Communication (DSRC) technology. We present a novel Advanced Activity-Aware (AAA) scheme to enhance Multi-Channel Operations based on IEEE 1609.4 standard in MAC Protocol implemented in Wireless Access in Vehicular Environments Wireless Access for Vehicular Environment (WAVE). The developed AAA scheme relies on the awareness of the vehicular safety load. It aims at dynamically finding an optimal setup for switching between Service Channel Interval (SCHI) and Control Channel Interval (CCHI) by decreasing every inactivity in the network. Our scheme is implemented using NS3 and maintains the default Synchronization Interval Synchronization Interval (SI), as defined by the standard in Vehicular Ad hoc Networks (VANETs). In addition, we evaluate a sequentially and a parallel CUDA-accelerated Markov Decision Process Markov Decision Process (MDP) based scheme and a fast greedy heuristics algorithm to optimize the problem of vehicular task placement with both IEEE 1609.4 and opportunistically available V2I of AAA scheme. We derive the system reward of Vehicular Cloud Computing VCC by considering the overall utilization of the virtualized resources of the distributed Vehicular Clouds (VCs) as well as the optimality of the solution of placement of the vehicular Bag-of-Tasks (BOTs) We present our vision to create such a beneficial link by designing a multimodal scheme for object detection, recognition, and mapping based on the fusion of stereo camera frames, point cloud Velodyne LIDAR scans, and Vehicle-to-Vehicle (V2V) Basic Safety Messages Basic Safety Messages (BSMs) exchanges using VANET protocols. Exploiting the high similarities in the underlying manifold properties of the three data sets, and their high neighborhood correlation, the proposed scheme employs semi-supervised manifold alignment to merge the key features of rich texture descriptions of objects from 2D images, depth and distance between objects provided by 3D point cloud, and awareness of self- declared vehicles from BSMs' 3D information including the ones not seen by camera and LIDAR. The proposed scheme is applied to create joint pixel-to-point-cloud and pixel- to-V2V correspondences of objects in frames from the KITTI Vision Benchmark Suite, using a semi-supervised manifold alignment, to achieve camera-LIDAR and camera-V2V mapping of their recognized objects. We present the alignment accuracy results over 2 different driving sequences and illustrate the additional acquired knowledge of objects from the various input modalities. We also study the effect of the number of neighbors employed in the alignment process on the alignment accuracy.
Book Synopsis Vehicular Clouds and Networking for Semi-supervised Alignment of Manifolds of Stereo and Lidar for Autonomous Vehicles by : Yassine Maalej
Download or read book Vehicular Clouds and Networking for Semi-supervised Alignment of Manifolds of Stereo and Lidar for Autonomous Vehicles written by Yassine Maalej and published by . This book was released on 2018 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: For decades, researchers on Vehicular Ad-hoc Networks vehicular ad-hoc networks (VANETs) and autonomous vehicles presented various solutions for vehicular safety and autonomy, respectively. Yet, the developed work in these two areas has been mostly conducted in their own separate worlds, and barely affect one-another despite the obvious relation- ships. In the coming years, the Internet of Vehicles Internet of Vehicles (IOV), encompassing sensing, communications, connectivity, processing, networking, and computation is expected to bridge many technologies to offer value-added information for the navi- gation of self-driving vehicles, to reduce vehicle on board computation, and to deliver desired functionalities. Potentials for bridging the gap between these two worlds and creating synergies of these two technologies have recently started to attract significant attention of many companies and government agencies. We present a comprehensive survey and an overview of the emerging key challenges related to the two worlds of Vehicular Clouds (VCs) including communications, networking, traffic modelling, medium access, VC Computing Vehicular Cloud Computing (VCC), VC collation strategies, secu- rity issues, and autonomous driving Autonomous Driving (AD) including 3D environment learning approaches and AD enabling deep-learning, computer vision and Artificial Intel- ligence Artificial Intelligence (AI) techniques. We then discuss the recent related work and potential trends on merging these two worlds in order to enrich vehicle cognition of its surroundings, and enable safer and more informed and coordinated AD systems. Modern vehicles are equipped with advanced communication, computation and storage capabilities in On-Board Units (OBUs), that are used to form a Vehicular Cloud Vehicular Cloud (VC) as coalitions of affordable resources to host infotainment applications. With the limitation of static vehicular communication schemes and the computational capa- bilities constraints in vehicular micro-datacenter, VCs have overcome these technological limitations. VCs are supposed to maximize the usage of Vehicle to Infrastructure (V2I) communications over Service Channels (SCHs) for non-safety applications while maintaining reliable short-lived safety applications Vehicle to Vehicle Vehicle-to-Vehicle (V2V) communications in the Dedicated Short Range Communication (DSRC) technology. We present a novel Advanced Activity-Aware (AAA) scheme to enhance Multi-Channel Operations based on IEEE 1609.4 standard in MAC Protocol implemented in Wireless Access in Vehicular Environments Wireless Access for Vehicular Environment (WAVE). The developed AAA scheme relies on the awareness of the vehicular safety load. It aims at dynamically finding an optimal setup for switching between Service Channel Interval (SCHI) and Control Channel Interval (CCHI) by decreasing every inactivity in the network. Our scheme is implemented using NS3 and maintains the default Synchronization Interval Synchronization Interval (SI), as defined by the standard in Vehicular Ad hoc Networks (VANETs). In addition, we evaluate a sequentially and a parallel CUDA-accelerated Markov Decision Process Markov Decision Process (MDP) based scheme and a fast greedy heuristics algorithm to optimize the problem of vehicular task placement with both IEEE 1609.4 and opportunistically available V2I of AAA scheme. We derive the system reward of Vehicular Cloud Computing VCC by considering the overall utilization of the virtualized resources of the distributed Vehicular Clouds (VCs) as well as the optimality of the solution of placement of the vehicular Bag-of-Tasks (BOTs) We present our vision to create such a beneficial link by designing a multimodal scheme for object detection, recognition, and mapping based on the fusion of stereo camera frames, point cloud Velodyne LIDAR scans, and Vehicle-to-Vehicle (V2V) Basic Safety Messages Basic Safety Messages (BSMs) exchanges using VANET protocols. Exploiting the high similarities in the underlying manifold properties of the three data sets, and their high neighborhood correlation, the proposed scheme employs semi-supervised manifold alignment to merge the key features of rich texture descriptions of objects from 2D images, depth and distance between objects provided by 3D point cloud, and awareness of self- declared vehicles from BSMs' 3D information including the ones not seen by camera and LIDAR. The proposed scheme is applied to create joint pixel-to-point-cloud and pixel- to-V2V correspondences of objects in frames from the KITTI Vision Benchmark Suite, using a semi-supervised manifold alignment, to achieve camera-LIDAR and camera-V2V mapping of their recognized objects. We present the alignment accuracy results over 2 different driving sequences and illustrate the additional acquired knowledge of objects from the various input modalities. We also study the effect of the number of neighbors employed in the alignment process on the alignment accuracy.
This book gathers recent research works in emerging Artificial Intelligence (AI) methods for the convergence of communication, caching, control, and computing resources in cloud-based Internet of Vehicles (IoV) infrastructures. In this context, the book's major subjects cover the analysis and the development of AI-powered mechanisms in future IoV applications and architectures. It addresses the major new technological developments in the field and reflects current research trends and industry needs. It comprises a good balance between theoretical and practical issues, covering case studies, experience and evaluation reports, and best practices in utilizing AI applications in IoV networks. It also provides technical/scientific information about various aspects of AI technologies, ranging from basic concepts to research-grade material, including future directions. This book is intended for researchers, practitioners, engineers, and scientists involved in designing and developing protocols and AI applications and services for IoV-related devices.
Book Synopsis Intelligent Technologies for Internet of Vehicles by : Naercio Magaia
Download or read book Intelligent Technologies for Internet of Vehicles written by Naercio Magaia and published by Springer. This book was released on 2022-06-11 with total page 511 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers recent research works in emerging Artificial Intelligence (AI) methods for the convergence of communication, caching, control, and computing resources in cloud-based Internet of Vehicles (IoV) infrastructures. In this context, the book's major subjects cover the analysis and the development of AI-powered mechanisms in future IoV applications and architectures. It addresses the major new technological developments in the field and reflects current research trends and industry needs. It comprises a good balance between theoretical and practical issues, covering case studies, experience and evaluation reports, and best practices in utilizing AI applications in IoV networks. It also provides technical/scientific information about various aspects of AI technologies, ranging from basic concepts to research-grade material, including future directions. This book is intended for researchers, practitioners, engineers, and scientists involved in designing and developing protocols and AI applications and services for IoV-related devices.
This book constitutes the proceedings of the 4th International Conference on Internet of Vehicles, IOV 2017, held in Kanazawa, Japan, in November 2017. The 19 papers presented in this volume were carefully reviewed and selected from 40 submissions. They deal with advances in the state of the art and practice of the IoV architectures, protocols, services and applications, as well as identifying emerging research topics and define the future directions of Internet of Vehicles.
Book Synopsis Internet of Vehicles. Technologies and Services for Smart Cities by : Sheng-Lung Peng
Download or read book Internet of Vehicles. Technologies and Services for Smart Cities written by Sheng-Lung Peng and published by Springer. This book was released on 2017-11-20 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 4th International Conference on Internet of Vehicles, IOV 2017, held in Kanazawa, Japan, in November 2017. The 19 papers presented in this volume were carefully reviewed and selected from 40 submissions. They deal with advances in the state of the art and practice of the IoV architectures, protocols, services and applications, as well as identifying emerging research topics and define the future directions of Internet of Vehicles.
