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Muhammad Arif & Mazin Abed Mohammed 
Vehicular Ad Hoc Networks [EPUB ebook] 
Futuristic Technologies for Interactive Modelling, Dimensioning, and Optimization

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With the evolution of technology and sudden growth in the number of smart vehicles, traditional Vehicular Ad hoc NETworks (VANETs) face several technical challenges in deployment and management due to less flexibility, scalability, poor connectivity, and inadequate intelligence. VANETs have raised increasing attention from both academic research and industrial aspects resulting from their important role in driving assistant system.Vehicular Ad Hoc Networks focuses on recent advanced technologies and applications that address network protocol design, low latency networking, context-aware interaction, energy efficiency, resource management, security, human-robot interaction, assistive technology and robots, application development, and integration of multiple systems that support Vehicular Networks and smart interactions.Simulation is a key tool for the design and evaluation of Intelligent Transport Systems (ITS) that take advantage of communication-capable vehicles in order to provide valuable safety, traffic management, and infotainment services. It is widely recognized that simulation results are only significant when realistic models are considered within the simulation tool chain. However, quite often research works on the subject are based on simplistic models unable to capture the unique characteristics of vehicular communication networks. The support that different simulation tools offer for such models is discussed, as well as the steps that must be undertaken to fine-tune the model parameters in order to gather realistic results. Moreover, the book provides handy hints and references to help determine the most appropriate tools and models. This book will promote best simulation practices in order to obtain accurate results.

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语言 英语 ● 格式 EPUB ● 网页 302 ● ISBN 9781000594225 ● 编辑 Muhammad Arif & Mazin Abed Mohammed ● 出版者 CRC Press ● 发布时间 2022 ● 下载 3 时 ● 货币 EUR ● ID 8410732 ● 复制保护 Adobe DRM
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