Collision is a key factor to be considered in the design of a communication system for unmanned vehicles, especially when they do extreme surveillance. Collisions can be avoided by establishing efficient vehicle-2-vehicle (V2V) and vehicle-2-infrastructure (V2I) communications through the Internet of Vehicles (IoV). Recently, software defined cognitive radio (CR) based IoV has emerged as a potential technology for efficient communications among unmanned vehicles. However, spectrum mobility is a challenge for keeping CR-based networks interoperable and has not been sufficiently investigated in the existing research. In our previous work, the cognitive-radio Site (CR_Site) has been proposed as an in-vehicle CR-device which can be utilized to establish an efficient IoV system. However, the CR_Site is not capable of resolving the spectrum mobility challenge in high-speed unmanned IoV systems. Therefore, in this paper we introduce an emotion-inspired cognitive agent (EIC_Agent) for spectrum mobility in CR_Site. The agent is equipped with a novel emotion-controlled spectrum mobility scheme that achieves efficient syntactic interoperability among unmanned vehicles. For efficient spectrum mobility, a probabilistic and deterministic finite automaton using a fear factor is proposed. Moreover, we performed a quantitative computation of different fear intensity levels with the help of fuzzy logic. We tested the system using active data from different GSM service providers on the Mangla-Mirpur road. The results are supplemented by extensive simulation experiments, which validate the proposed scheme for a CR-based high-speed unmanned vehicle network. Finally, we compare the proposed scheme with the existing state-of-the-art, demonstrating the superiority of the proposed EIC-agent-based spectrum mobility scheme within a CR-based IoV system.

碰撞是无人驾驶车辆通信系统设计中要考虑的关键因素，尤其是在进行极端监视时。通过通过车联网（IoV）建立有效的车2车辆（V2V）和车2基础设施（V2I）通信，可以避免冲突。近来，基于软件定义的认知无线电（CR）的IoV已经成为一种无人驾驶车辆之间进行有效通信的潜在技术。但是，频谱移动性是保持基于CR的网络可互操作的挑战，并且在现有研究中尚未进行充分研究。在我们之前的工作中，认知无线电站点（CR_Site）已被提出作为车载CR设备，可用于建立有效的IoV系统。然而，CR_Site无法解决高速无人IoV系统中的频谱迁移问题。因此，在本文中，我们为CR_Site中的频谱迁移引入了一种情感启发式认知代理（EIC_Agent）。该代理配备了一种新型的情绪控制频谱迁移方案，该方案可在无人驾驶工具之间实现有效的语法互操作性。为了有效的频谱移动性，提出了一种使用恐惧因子的概率确定性有限自动机。此外，我们借助模糊逻辑对不同恐惧程度进行了定量计算。我们使用了来自Mangla-Mirpur公路上不同GSM服务提供商的活动数据对系统进行了测试。通过广泛的模拟实验对结果进行补充，验证了基于CR的高速无人驾驶汽车网络的建议方案。最后，我们将提出的方案与现有技术进行了比较，证明了提出的基于EIC代理的频谱迁移方案在基于CR的IoV系统中的优越性。