RDVFF- Reliable Data Dissemination in Vehicular Ad Hoc Networks Based on Validation of Far to Farthest Zone

Author:

Deepak Gupta Deepak Gupta,Deepak Gupta Rakesh Rathi

Abstract

<p>The rise of connected and autonomous vehicles has resulted in the development of vehicular ad hoc networks (VANETs) as a means of improving road safety, traffic efficiency, and passenger comfort. However, VANETs present challenges to achieving reliability and service quality in networks suffered highly by broadcast storms due to their mobility, scalability, and high node density. By addressing such challenges, this paper seeks to contribute to solving the problem of efficient information dissemination by diluting the broadcast storm and coverage issues by proposing a novel relay selection scheme based on the validation of the far-to-farthest zone technique. A flag control suppression mechanism is presented to overcome repeated information problems. RDVFF includes a separate algorithm for the optimization of participants for relay inclusion to address the latency issue during communication based on a multi-directional multiple-selection scheme. Compared with state-of-art protocols in terms of throughput, delivery ratio, collision, and latency experimental results show improvement of an average of 21.27%, 18.34%, 36.76%, and 38.04% respectively.</p> <p>&nbsp;</p>

Publisher

Journal of Internet Technology

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. CFFS: An Improved Cluster-Driven Firefly Strategy for FANET Security;2024 Second International Conference on Data Science and Information System (ICDSIS);2024-05-17

2. A Novel Spider Monkey Optimization for Reliable Data Dissemination in VANETs Based on Machine Learning;Sensors;2024-04-06

3. Machine Learning Driven Threat Identification to Enhance FANET Security using Genetic Algorithm;The International Arab Journal of Information Technology;2024

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