基于 SWIPT 的合作式车载中继网络的物理层安全性

IF 5.8 2区 计算机科学 Q1 TELECOMMUNICATIONS Vehicular Communications Pub Date : 2024-08-19 DOI:10.1016/j.vehcom.2024.100835
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引用次数: 0

摘要

自动交通系统的未来取决于能源的可持续性和低功耗车辆传感器的安全信息交换,因此人们对使用同步无线信息和功率传输(SWIPT)的车辆传感器充电越来越感兴趣。本研究探讨了基于 SWIPT 的射频能量收集合作车辆中继网络在级联中上-m 和双中上-m(DN)衰落信道下的物理层安全性。在所考虑的系统模型中,固定信源通过基于功率分配的解码前向中继与移动目的地通信,同时存在一个移动被动窃听者。基于 Laguerre 序列的伽马分布第一项,推导出了 DN 的新统计概率密度函数 (PDF) 和累积分布函数 (CDF) 表达式,以准确模拟复杂的级联衰落场景。分析的保密性能指标包括保密中断概率 (SOP)、非零保密容量概率 (PNZSC) 和截获概率 (IP)。此外,还研究了高信噪比(SNR)下的渐进 SOP(ASOP),以加深对保密性能的理解。根据推导出的 ASOP,确定并检验了所提系统的保密分集阶(SDO)。特别是,我们提出了保密性能指标的解析闭式表达式,并详细说明了级联衰落情况下系统参数的影响。然后,我们提出了一个功率分配(PS)优化问题,以最小化 SOP。结果表明,与等功率 PS 方案相比,所提出的 PS 方案降低了 SOP。蒙特卡罗模拟验证了所获得的分析结果。
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Physical layer security in SWIPT-based cooperative vehicular relaying networks

The future of autonomous transportation systems depends on energy sustainability and secure information exchange from low-power vehicular sensors, hence the increased interest in vehicular sensor charging using simultaneous wireless information and power transfer (SWIPT). This study investigates the physical layer security of a SWIPT-based radio frequency energy harvesting cooperative vehicular relaying network subjected to cascade Nakagami-m and double Nakagami-m (DN) fading channels. In the considered system model, a stationary source communicates with a mobile destination through a power-splitting-based decode-and-forward relay in the presence of a mobile passive eavesdropper. Based on the Gamma-distributed first term of the Laguerre series, new statistical probability density function (PDF) and cumulative distribution function (CDF) expressions for the DN are derived to accurately model the complex cascaded fading scenario. The secrecy performance metrics analyzed are the secrecy outage probability (SOP), the probability of non-zero secrecy capacity (PNZSC), and the intercept probability (IP). In addition, the asymptotic SOP (ASOP) is investigated in the high signal-to-noise ratio (SNR) to enhance the comprehension of the secrecy performance. Based on the derived ASOP, the secrecy diversity order (SDO) of the proposed system is determined and examined. Particularly, we present analytical closed-form expressions for the secrecy performance metrics and provide a detailed understanding of the impact of the system parameters under the cascade fading scenario. Then, a power splitting (PS) optimization problem is formulated to minimize the SOP. The results demonstrate a reduction in the SOP with the proposed PS scheme compared to the equal PS scheme. The obtained analytical findings are validated using Monte Carlo simulations.

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来源期刊
Vehicular Communications
Vehicular Communications Engineering-Electrical and Electronic Engineering
CiteScore
12.70
自引率
10.40%
发文量
88
审稿时长
62 days
期刊介绍: Vehicular communications is a growing area of communications between vehicles and including roadside communication infrastructure. Advances in wireless communications are making possible sharing of information through real time communications between vehicles and infrastructure. This has led to applications to increase safety of vehicles and communication between passengers and the Internet. Standardization efforts on vehicular communication are also underway to make vehicular transportation safer, greener and easier. The aim of the journal is to publish high quality peer–reviewed papers in the area of vehicular communications. The scope encompasses all types of communications involving vehicles, including vehicle–to–vehicle and vehicle–to–infrastructure. The scope includes (but not limited to) the following topics related to vehicular communications: Vehicle to vehicle and vehicle to infrastructure communications Channel modelling, modulating and coding Congestion Control and scalability issues Protocol design, testing and verification Routing in vehicular networks Security issues and countermeasures Deployment and field testing Reducing energy consumption and enhancing safety of vehicles Wireless in–car networks Data collection and dissemination methods Mobility and handover issues Safety and driver assistance applications UAV Underwater communications Autonomous cooperative driving Social networks Internet of vehicles Standardization of protocols.
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