Enhancing Data Dissemination Security and Quality Through the Authenticated Relay Selection and Scheduling Framework (ARSSF) in VANET.

Autor: Abbas, Abdulkareem Dawah, Yasari, Abidulkarim K. I., Hamdi, Mustafa Maad
Předmět:
Zdroj: Mathematical Modelling of Engineering Problems; Sep2024, Vol. 11 Issue 9, p2327-2336, 10p
Abstrakt: A Vehicular Ad Hoc Network (VANET) is an emergent wireless technology that enables high-speed communication. It became attractive to automobile manufacturers because of the secure information transmission without fatal accidents. It has several unique features, such as data dissemination, frequently disconnected networks during transmission, dynamic network density, and dynamic topology, that differentiate VANETs. Data dissemination is vital because it ensures the safety and performance of the vehicle. Conversely, VANET has limitations in providing effective communication between the vehicles due to delays and frequent disruptions. Thus, data dissemination needs an effective routing and scheduling process to avoid collisions of vehicles. Based on this fact, we proposed a novel Authenticate Relay Selection and Scheduling Framework (ARSSF) for secure and quality data transmission in VANET. ARSSF is a novel VANET communication method that prioritizes trustworthy relay nodes and dynamic scheduling to increase network performance and safety as data dissemination needs rise. It used the SNR, utility, and relay selection schemes for choosing the relay nodes that can cover the capacity of the network, thus minimizing the data dissemination delay. Additionally, an authentication method was utilized during the relay transmission phase to ensure both data security and authorization. The proposed framework performance was assessed by NS2 simulation. The results demonstrate that ARSSF is beneficial. ARSSF's minimum delay of 47 ms, throughput of 98.17%, and security measures of 98.38% show its value in VANETs. It enhances VANET safety, efficiency, and data distribution and could serve as a high-end vehicular network research platform. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index