書(shū)目名稱(chēng) | Learning-based VANET Communication and Security Techniques |
編輯 | Liang Xiao,Weihua Zhuang,Cailian Chen |
視頻video | http://file.papertrans.cn/584/583056/583056.mp4 |
概述 | Investigates the fundamental principles for “communication and security issues in VANETs”, including the system fundamentals and algorithm fundamentals. These fundamental principles help to fully and |
叢書(shū)名稱(chēng) | Wireless Networks |
圖書(shū)封面 |  |
描述 | .This timely book provides broad coverage of vehicular ad-hoc network (VANET) issues, such as?security, and network selection. Machine learning based methods are?applied to solve these issues. This book also includes four rigorously refereed?chapters from prominent international researchers working in this subject?area. The material serves as a useful reference for researchers, graduate?students, and practitioners seeking solutions to VANET communication and?security related issues. This book will also help readers understand how to use?machine learning to address the security and communication challenges in VANETs..?Vehicular ad-hoc networks (VANETs) support vehicle-to-vehicle?communications and vehicle-to-infrastructure communications to improve?the transmission security, help build unmanned-driving, and support?booming applications of onboard units (OBUs). The high mobility of OBUs?and the large-scale dynamic network with fixed roadside units (RSUs) make?the VANET vulnerable to jamming.?.?The anti-jamming communication of VANETs can be significantly improved?by using unmanned aerial vehicles (UAVs) to relay the OBU message. UAVs help relay the OBU message to improve the signal-t |
出版日期 | Book 2019 |
關(guān)鍵詞 | Vehicular Ad-hoc Networks; Security; Jamming; Authentication; Machine Learning; Reinforcement Learning; Ga |
版次 | 1 |
doi | https://doi.org/10.1007/978-3-030-01731-6 |
isbn_softcover | 978-3-030-13192-0 |
isbn_ebook | 978-3-030-01731-6Series ISSN 2366-1186 Series E-ISSN 2366-1445 |
issn_series | 2366-1186 |
copyright | Springer Nature Switzerland AG 2019 |