慎博思学 | BFS ESI高被引论文分享

团队Khelifi, Hakima博士发表的期刊文章《Named Data Networking in Vehicular Ad hoc Networks: State-of-the-Art and Challenges》，自2021年3月起至今被引用381次，连续27期入选ESI高被引论文。

Khelif, H (Khelif, Hakima); Luo, SL(Luo, Senlin); Nour, B (Nour, Boubakr), et al. Named Data Networking in Vehicular Ad hoc Networks: State-of-the-Art and Challenges. IEEE Communications Surveys and Tutorials, 020,22(1):320-351【IF：46.7, WOS检索号：000520934500011】

https://ieeexplore.ieee.org/document/8624354

中科院SCI分区

WOS-JCR分区

Abstract: Information-centric networking (ICN) has been proposed as one of the future Internet architectures. It is poised to address the challenges faced by today’s Internet that include, but not limited to, scalability, addressing, security, and privacy. Furthermore, it also aims at meeting the requirements for new emerging Internet applications. To realize ICN, named data networking (NDN) is one of the recent implementations of ICN that provides a suitable communication approach due to its clean slate design and simple communication model. There are a plethora of applications realized through ICN in different domains where data is the focal point of communication. One such domain is intelligent transportation system realized through vehicular ad hoc network (VANET) where vehicles exchange information and content with each other and with the infrastructure. Up to date, excellent research results have been yielded in the VANET domain aiming at safe, reliable, and infotainment-rich driving experience. However, due to the dynamic topologies, host-centric model, and ephemeral nature of vehicular communication, various challenges are faced by VANET that hinder the realization of successful vehicular networks and adversely affect the data dissemination, content delivery, and user experiences. To fill these gaps, NDN has been extensively used as underlying communication paradigm for VANET. Inspired by the extensive research results in NDN-based VANET, in this paper, we provide a detailed and systematic review of NDN-driven VANET. More precisely, we investigate the role of NDN in VANET and discuss the feasibility of NDN architecture in VANET environment. Subsequently, we cover in detail, NDN-based naming, routing and forwarding, caching, mobility, and security mechanism for VANET. Furthermore, we discuss the existing standards, solutions, and simulation tools used in NDN-based VANET. Finally, we also identify open challenges and issues faced by NDN-driven VANET and highlight future research directions that should be addressed by the research community.

基本科学指标数据库（Essential Science Indicators，简称ESI），是由科睿唯安（Clarivate Analytics，原汤森路透知识产权与科技事业部）在汇集和分析Web of Science核心合集所收录的学术文献及其所引用的参考文献的基础上建立起来的分析型数据库。ESI由学术信息出版机构美国科学信息研究所（ISI）于2001年推出的衡量科学研究绩效、跟踪科学发展趋势的基本分析评价工具，现已成为世界范围内普遍用以评价高校、学术机构、国家/地区国际学术水平及影响力的重要评价指标工具。ESI从引文分析的角度，将全部科学分为22个专业领域，分别对国家、研究机构、期刊、论文以及科学家进行统计分析和排序。ESI高被引论文是指近10年内发表且在同学科领域中被引次数排名全球Top1%的学术论文（仅限Article和Review类型）。数据一年更新6次，更新周期为2个月。