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基于区块链的安全天气预测信息通过 Vanet 中的路由协议

BBSF: Blockchain-Based Secure Weather Forecasting Information through Routing Protocol in Vanet.

机构信息

Department of IT, University of Haripur, Haripur 22620, Pakistan.

Department of Computer Skills, Deanship of Preparatory Year, Najran University, Najran 66446, Saudi Arabia.

出版信息

Sensors (Basel). 2023 Jun 1;23(11):5259. doi: 10.3390/s23115259.

Abstract

A vehicular ad hoc network (VANET) is a technique that uses vehicles with the ability to sense data from the environment and use it for their safety measures. Flooding is a commonly used term used for sending network packets. VANET may cause redundancy, delay, collision, and the incorrect receipt of the messages to their destination. Weather information is one of the most important types of information used for network control and provides an enhanced version of the network simulation environments. The network traffic delay and packet losses are the main problems identified inside the network. In this research, we propose a routing protocol which can transmit the weather forecasting information on demand based on source vehicle to destination vehicles, with the minimum number of hop counts, and provide significant control over network performance parameters. We propose a BBSF-based routing approach. The proposed technique effectively enhances the routing information and provides the secure and reliable service delivery of the network performance. The results taken from the network are based on hop count, network latency, network overhead, and packet delivery ratio. The results effectively show that the proposed technique is reliable in reducing the network latency, and that the hop count is minimized when transferring the weather information.

摘要

车对车自组网(VANET)是一种利用具有感知环境数据能力的车辆来确保其安全措施的技术。泛洪是用于发送网络数据包的常用术语。VANET 可能会导致冗余、延迟、碰撞和消息无法正确传送到目的地。天气信息是用于网络控制的最重要的信息类型之一,它提供了网络仿真环境的增强版本。网络流量延迟和数据包丢失是网络内部确定的主要问题。在这项研究中,我们提出了一种路由协议,该协议可以根据源车辆向目的车辆按需传输天气预测信息,使用最小的跳数计数,并对网络性能参数进行重要控制。我们提出了一种基于 BBSF 的路由方法。所提出的技术有效地增强了路由信息,并提供了网络性能的安全可靠的服务交付。所得到的网络结果基于跳数、网络延迟、网络开销和数据包传输率。结果有效地表明,该技术在降低网络延迟方面是可靠的,并且在传输天气信息时可以将跳数最小化。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9859/10256096/0cf5381a7777/sensors-23-05259-g001.jpg

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