Vehicular Ad Hoc Networks: Futuristic Technologies for Interactive Modelling, Dimensioning, and Optimization

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.

隨著科技的進步和智能車輛數量的急劇增長，傳統的車輛自組網路（VANETs）在部署和管理方面面臨著一些技術挑戰，包括靈活性不足、可擴展性差、連接性差和智能度不足。由於在駕駛輔助系統中扮演著重要角色，VANETs已經引起了學術研究和工業方面的越來越多的關注。

《車輛自組網路》專注於最新的先進技術和應用，包括網絡協議設計、低延遲網絡、上下文感知互動、能源效率、資源管理、安全性、人機互動、輔助技術和機器人、應用開發以及支持車輛網絡和智能互動的多個系統的整合。

模擬是設計和評估智能交通系統（ITS）的關鍵工具，利用通信能力車輛提供有價值的安全、交通管理和信息娛樂服務。廣泛認識到，只有在模擬工具鏈中考慮到真實模型時，模擬結果才具有意義。然而，研究論文往往基於簡單的模型，無法捕捉到車輛通信網絡的獨特特性。本書討論了不同模擬工具對這些模型的支持，以及必須採取的步驟來調整模型參數以獲得真實結果。此外，本書提供了有用的提示和參考資料，以幫助確定最合適的工具和模型。本書將促進最佳模擬實踐，以獲得準確的結果。

Dr. Muhammad Arif is currently working in the School of Computer Science in Guangzhou University, China. He received his BS degree in Computer Science from the University of Sargodha, Pakistan in 2011. He obtained his MS degree in Computer Science from COMSATS Islamabad 2013 Pakistan. He received his PhD degree from Guangzhou University, China. His research interests include Artificial intelligence, big data, cloud computing, and cyberspace security, data mining, image processing, medical image processing, Privacy, Security, and E-learning. Currently, he is working privacy and security of vehicular networks. Previously he was a lecturer at the University of Gujrat, Gujrat, Pakistan. He completed masters and bachelor degrees in Pakistan. He is the author of more than 40 SCIE journal publications, and more than 20 conference publications and a number of Best Paper Awards in the international conferences, including iSCI 2019. He have 2 SCI highly cited papers. He has more than 720 citations, according to Google Scholar. His H-Index is 15 and the i10-Index is 21. He is the Editorial board member of International Journal of Advanced Intelligence Paradigms (IJAIP) and to International Journal of Computational Systems Engineering (IJCSysE). He is a reviewer of many well-known journals, including IEEE Transaction on Vehicular Technology, IOT Journal, Plos-One, Sensors, Vehicular Communications and Journal of Network and Computer Applications, etc. He has participated in many international conferences as Programme committee member, Session Chair, Technical Programme Committee, or International Program Committees. He is the programme chair of The 2020 International Workshop on Smart Technologies for Intelligent Transportation and Communications (SmartITC 2020). He is also a member of IEEE and IET.

Guojun Wang received B.Sc. degree in Geophysics, M.Sc. degree in Computer Science, and Ph.D. degree in Computer Science, at Central South University, China, in 1992, 1996, 2002, respectively. He is a Pearl River Scholarship Distinguished Professor of Higher Education in Guangdong Province, a Doctoral Supervisor and Vice Dean of School of Computer Science and Cyber Engineering, Guangzhou University, China, a Vice Chairman of Intelligence Engineering Society of Guangzhou, and the Director of Institute of Computer Networks at Guangzhou University. He has been listed in Chinese Most Cited Researchers (Computer Science) by Elsevier in the past six consecutive years (2014-2019). His h-index is 49 (as of the date August 16, 2020). He had been a Professor at Central South University, China; an Adjunct Professor at Temple University, USA; a Visiting Scholar at Florida Atlantic University, USA; a Visiting Researcher at the University of Aizu, Japan; and a Research Fellow at the Hong Kong Polytechnic University, Hong Kong SAR, China. His research interests include artificial intelligence, big data, cloud computing, Internet of Things (IoT), blockchain, trustworthy/dependable computing, network security, privacy preserving, recommendation systems, and smart cities. He has published more than 400 technical papers and books/chapters in the above areas, including top international journals like ACM TAAS/TOSN/CSUR and IEEE TC/TPDS/TDSC, and top international conferences like CCS/WWW/INFOCOM/CIKM/DSN/ESORICS. His research is supported by Key Project of the National Natural Science Foundation of China, the National High-Tech Research and Development Plan of China (863 Plan), the Ministry of Education Fund for Doctoral Disciplines in Higher Education, the Guangdong Provincial Natural Science Foundation, the Hunan Provincial Natural Science Foundation, and the Hunan Provincial Science and Technology Program. His research is also supported by talents programs including the Program for Pearl River Scholarship Distinguished Professor of Higher Education in Guangdong Province, the Hunan Provincial Natural Science Foundation of China for Distinguished Young Scholars, and the Program for New Century Excellent Talents in University. He is a recipient of a number of science and technology awards, including the 2018 Special Government Allowances of the State Council, the 2014 First Prize of the National Natural Science Award (name in the 5th place), the 2014 Second Prize of the Hunan Provincial Natural Science Award (name in the 1st place), the 2013 and 2003 First Prize of two Natural Science Awards of Ministry of Education of China (name in the 4th and 5th places, respectively), and a number of Best Paper Awards in the international conferences, including iSCI 2019, IEEE UIC 2018, IEEE IoP 2018, IEEE ISPA 2013, and IEEE TrustCom 2010. He is an associate editor or on editorial board of some international journals including IEEE Transactions on Parallel and Distributed Systems (TPDS), Security and Communication Networks (SCN), International Journal of Parallel, Emergent and Distributed Systems (IJPEDS), and International Journal of Computational Science and Engineering (IJCSE).

Dr Mazin Abed Mohammed obtained his BSc. in Computer Science from the University of Anbar, Iraq in 2008. He obtained his MSc. in Information Technology from the College of Graduate Studies, Universiti Tenaga Nasional (UNITEN), Malaysia in 2011. He obtained his PhD. in Information and Communication Technology from the Faculty of Information & Communication Technology, Universiti Teknikal Malaysia Melaka, Melaka, Malaysia in 2018. He has produced more than 60 articles in journals, book chapters, conferences, and tutorials. His specialization and research interest include the areas of Artificial Intelligence, Biomedical Computing and Processing, Medical Image and Data Processing, Machine Learning, Deep Learning, Optimization Methods and Software Medical IoT. ORCID (ID: 0000-0001-9030-8102), Google Scholar H-index 25 of 62 papers, Scopus (ID: 57192089894) H-index 19 of 45 papers, Publons (ID: E-3910-2018) H-index 14, total citations 435 of 45 papers.

Dr. Md Tabrez Nafis is working as an Assistant Professor in the Department of Computer Science & Engineering, Jamia Hamdard (Deemed University), New Delhi, India. He is having a rich experience of more than 12 years in the field of Computer Science and Engineering. His research interest areas are Big Data, Machine Learning, Health Informatics & IoT. Dr. Nafis has published several research papers in reputed International Journals and Conferences. He has chaired several session and member of TPC in International Conferences. Dr. Nafis is an Associate Editor of International Journal of End-User Computing and Development (IJEUCD), published by IGI Global, USA. He is also member of Editorial board in International Journal of Big Data, AI & IoT (IJBDAI), Published by Hikari, Bulgaria. He is a reviewer in Journal of Technology in Behavioral Science(Springer), Arabian Journal of Geosciences, published by Springer[Scopus, SCI] and International Journal of Big Data Intelligence and Applications (IJBDIA) published by IGI Global, USA. Dr. Nafis is a Senior Member IEEE and life member of several International/National professional bodies viz. CSI, IETE, ISTE. His research interest areas are Big Data, Machine Learning, Health Informatics & IoT.

Dr. Muhammad Arif目前在中國廣州大學的計算機科學學院工作。他於2011年從巴基斯坦的薩戈達大學獲得計算機科學學士學位，並於2013年在巴基斯坦的COMSATS伊斯蘭堡分校獲得計算機科學碩士學位。他在廣州大學獲得博士學位。他的研究興趣包括人工智能、大數據、雲計算和網絡安全、數據挖掘、圖像處理、醫學圖像處理、隱私、安全和電子學習。目前，他正在研究車輛網絡的隱私和安全性。以前，他是巴基斯坦古吉拉特大學的講師。他在巴基斯坦完成了碩士和學士學位。他是40多篇SCIE期刊文章的作者，還有20多篇會議文章，並在國際會議上獲得了多個最佳論文獎，包括iSCI 2019。他有2篇SCI高引用論文。根據Google Scholar的統計，他的文章被引用超過720次。他的H指數為15，i10指數為21。他是《國際高級智能範式期刊》（IJAIP）和《國際計算系統工程期刊》（IJCSysE）的編輯委員會成員。他是許多知名期刊的審稿人，包括IEEE交通技術期刊、物聯網期刊、Plos-One、Sensors、車輛通信和網絡與計算應用期刊等。他曾擔任許多國際會議的程序委員會成員、分會主席、技術程序委員會或國際程序委員會。他是2020年國際智能交通和通信智能技術研討會（SmartITC 2020）的程序主席。他還是IEEE和IET的成員。

Guojun Wang於1992年、1996年和2002年分別在中南大學獲得地球物理學學士學位、計算機科學碩士學位和計算機科學博士學位。他是中國廣東省珠江學者特聘教授、廣州大學計算機科學與網絡工程學院博士生導師和副院長、廣州市智能工程學會副主席，以及廣州大學計算機網絡研究所所長。他連續六年（2014年至2019年）入選愛思唯爾的中國最高引用研究人員（計算機科學）。截至2020年8月16日，他的h指數為49。他曾任職於中南大學教授，美國天普大學兼職教授，美國佛羅里達大西洋大學訪問學者，日本會津大學訪問研究員，以及香港理工大學研究員。他的研究興趣包括人工智能、大數據、雲計算、物聯網、區塊鏈、可信/可靠計算、網絡安全、隱私保護、推薦系統和智慧城市。他在上述領域發表了400多篇技術論文和書籍/章節，包括ACM TAAS/TOSN/CSUR和IEEE TC/TPDS/TDSC等頂級國際期刊，以及CCS/WWW/INFOCOM/CIKM/DSN/ESORICS等頂級國際會議。他的研究得到了國家自然科學基金重點項目、國家高技術研究發展計劃（863計劃）、教育部高等教育博士學科點基金、廣東省自然科學基金、湖南省自然科學基金和湖南省科技計劃的支持。他的研究還得到了包括廣東省珠江學者特聘教授計劃、湖南省自然科學基金優秀青年科學基金在內的人才計劃的支持。