04336nam a22005175i 4500 978-3-030-36167-9 DE-He213 20210622164314.0 cr nn 008mamaa 200113s2020 gw | s |||| 0|eng d 9783030361679 978-3-030-36167-9 10.1007/978-3-030-36167-9 doi TK5105.5-5105.9 UKN bicssc COM075000 bisacsh UKN thema 004.6 23 Connected Vehicles in the Internet of Things [electronic resource] : Concepts, Technologies and Frameworks for the IoV / edited by Zaigham Mahmood. 1st ed. 2020. Cham : Springer International Publishing : Imprint: Springer, 2020. XXVIII, 331 p. 97 illus., 84 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda 1. Connected Vehicles in the IoV: Concepts, Technologies and Architectures -- 2. Spatial Intelligence and Vehicle-to-Vehicle Communication: Topologies and Architectures -- 3. Seamless V2I Communication in HetNet: State-of-the-Art and Future Research Directions -- 4. Integrating Vehicular Technologies within the IoT Environment: A Case of Egypt -- 5. Protocols and Design Structures for Vehicular Networks -- 6. Intelligent Traffic Management Systems for Next Generation IoV in Smart City Scenario. This book presents an overview of the latest smart transportation systems, IoV connectivity frameworks, issues of security and safety in VANETs, future developments in the IoV, technical solutions to address key challenges, and other related topics. A connected vehicle is a vehicle equipped with Internet access and wireless LAN, which allows the sharing of data through various devices, inside as well as outside the vehicle. The ad-hoc network of such vehicles, often referred to as VANET or the Internet of vehicles (IoV), is an application of IoT technology, and may be regarded as an integration of three types of networks: inter-vehicle, intra-vehicle, and vehicular mobile networks. VANET involves several varieties of vehicle connectivity mechanisms, including vehicle-to-infrastructure (V2I), vehicle-to-vehicle (V2V), vehicle-to-cloud (V2C), and vehicle-to-everything (V2X). According to one survey, it is expected that there will be approximately 380 million connected cars on the roads by 2020. IoV is an important aspect of the new vision for smart transportation. The book is divided into three parts: examining the evolution of IoV (basic concepts, principles, technologies, and architectures), connectivity of vehicles in the IoT (protocols, frameworks, and methodologies), connected vehicle environments and advanced topics in VANETs (security and safety issues, autonomous operations, machine learning, sensor technology, and AI). By providing scientific contributions and workable suggestions from researchers and practitioners in the areas of IoT, IoV, and security, this valuable reference aims to extend the body of existing knowledge. Computer communication systems. Software engineering. Machine learning. Computer networks Security measures. Computer Communication Networks. https://scigraph.springernature.com/ontologies/product-market-codes/I13022 Software Engineering. https://scigraph.springernature.com/ontologies/product-market-codes/I14029 Machine Learning. https://scigraph.springernature.com/ontologies/product-market-codes/I21010 Mobile and Network Security. https://scigraph.springernature.com/ontologies/product-market-codes/I28050 Mahmood, Zaigham. editor. edt http://id.loc.gov/vocabulary/relators/edt SpringerLink (Online service) Springer Nature eBook Printed edition: 9783030361662 Printed edition: 9783030361686 Printed edition: 9783030361693 https://doi.org/10.1007/978-3-030-36167-9 ZDB-2-SCS ZDB-2-SXCS Computer Science (SpringerNature-11645) Computer Science (R0) (SpringerNature-43710)