Bibliometric Analysis: A Trends and Advancement in Clustering Techniques on VANET
- Title
- Bibliometric Analysis: A Trends and Advancement in Clustering Techniques on VANET
- Creator
- Shandilya A.; Gupta V.; Anand G.
- Description
- In recent years, Traffic management and road safety has become a major concern for all countries around the globe. Many techniques and applications based on Intelligent Transportation Systems came into existence for road safety, traffic management and infotainment. To support the Intelligent Transport System, VANET has been implemented. With the highly dynamic nature of VANET and frequently changing topology network with high mobility of vehicles or nodes, dissemination of messages becomes a challenge. Clustering Technique is one of the methods which enhances network performance by maintaining communication link stability, sharing network resources, timely dissemination of information and making the network more reliable by using network bandwidth efficiently. This study uses bibliometric analysis to understand the impact of Clustering techniques on VANET from 2017 to 2022. The objective of the study was to understand the trends & advancement in clustering in VANET through bibliometric analysis. The publications were extracted from the Dimension database and the VOS viewer was used to visualize the research patterns. The findings provided valuable information on the publication author, authors country, year, authors organization affiliation, publication journal, citation etc. Based on the findings of this analysis, the other researchers may be able to design their studies better and add more perception or understanding to their empirical studies. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
- Source
- Lecture Notes in Networks and Systems, Vol-995, pp. 251-263.
- Date
- 2024-01-01
- Publisher
- Springer Science and Business Media Deutschland GmbH
- Subject
- Bibliometric analysis; Cluster formation; Cluster head; Cluster stability; Clustering; VANET; VOS viewer
- Coverage
- Shandilya A., CHRIST (Deemed to Be University), Bengaluru, India; Gupta V., CHRIST (Deemed to Be University), Bengaluru, India; Anand G., CHRIST (Deemed to Be University), Bengaluru, India
- Rights
- Restricted Access
- Relation
- ISSN: 23673370; ISBN: 978-981973291-3
- Format
- Online
- Language
- English
- Type
- Conference paper
Collection
Citation
Shandilya A.; Gupta V.; Anand G., “Bibliometric Analysis: A Trends and Advancement in Clustering Techniques on VANET,” CHRIST (Deemed To Be University) Institutional Repository, accessed March 31, 2025, https://archives.christuniversity.in/items/show/19378.