4.4 Article

On the secure performance of Internet of Vehicles in Nakagami-m fading scenarios

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PHYSICAL COMMUNICATION
卷 59, 期 -, 页码 -

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ELSEVIER
DOI: 10.1016/j.phycom.2023.102111

关键词

IoV; Stochastic geometry; Physical layer security; Secrecy outage probability

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With the rapid growth of the wireless communication industry, the Internet of Vehicles (IoV) has attracted significant attention as an application scenario. Ensuring the security of information transmission is a key challenge in the IoV system. This paper considers the impact of Nakagami-m fading channel characteristics and vehicle position distribution in the real road scenario to propose a system model for analyzing secrecy outage probability. The derived analytical expressions are verified through Monte Carlo simulation and numerical analysis, and the performance and influencing factors of the considered model in the Nakagami-m fading environment are discussed.
With the vigorous development of today's wireless communication industry, the Internet of Vehicles (IoV), as one of its application scenarios, has received extensive attention from researchers. Ensuring the security of information transmission is one of the many problems to be solved in the IoV system. To fit the actual scene, this paper considers the impacts of both the channel characteristics of Nakagami-m fading and the distribution of the vehicles' positions in the real road scenario of the IoV. According to the random distribution characteristics of vehicle terminal position, a system model with a transmitter base station, a legitimate vehicle terminal, and an eavesdropper is established. The approximate and asymptotic analytical expressions of the secrecy outage probability over the Nakagami-m fading channels are derived. Finally, the correctness of the proposed analysis models established in this paper is verified by Monte Carlo simulation and numerical analysis. The secrecy outage performance and the influencing factors of the considered model in the Nakagami-m fading environment are discussed and analyzed.

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