为车联网设计高效安全的路由模型，提升传输性能与抗攻击能力。
Design of an Efficient Fan-Shaped Clustered Trust-Based Routing Model with QoS & Security-Aware Side-Chaining for IoV Deployments
- 采用扇形聚类与信任机制，结合QoS和安全感知侧链。
- 延迟降9.5%，吞吐量升10.5%，包投递率提高2.9%。
- 适合智能交通、智慧城市等高可靠性场景使用。
车联网（IoV）的快速部署带来了海量设备间数据传输的挑战，亟需高效安全的路由方案。本文提出一种新型扇形信任路由模型，融合服务质量（QoS）与安全感知侧链机制。通过时序化的延迟、吞吐量、包投递率（PDR）和能耗指标，动态优化路由路径，保障高效通信。利用细菌觅食优化算法（BFO）管理侧链配置，实现系统性能自适应调节。扇形聚类策略将节点分组，提升通信效率与资源利用率。实验表明，相比现有方法，本模型在延迟上降低9.5%，吞吐量提升10.5%，包投递率改善2.9%，能耗减少4.5%。同时，在抵抗仿冒、洪泛等典型攻击场景下，仍能维持更高水平的QoS，保障数据传输连续可靠。该模型适用于智慧城市、工业自动化、医疗系统、交通网络及环境监测等应用场景。
原文摘要 · Abstract (English)
The rapid expansion of Internet of Vehicles (IoV) deployments has necessitated the creation of efficient and secure routing models to manage the massive data traffic generated by interconnected devices & vehicles. For IoV deployments, we propose a novel fan-shaped trust-based routing model with Quality of Service (QoS) and security-aware side-chaining. Our method employs temporal levels of delay, throughput, Packet Delivery Ratio (PDR), and energy consumption to determine optimal routing paths, thereby ensuring efficient data transmissions. We employ the Bacterial Foraging Optimizer (BFO) algorithm to manage side-chains within the network, which dynamically adjusts side-chain configurations to optimize system performance. The technique of fan-shaped clustering is used to group nodes into efficient clusters, allowing for more efficient communication and resource utilization sets. Extensive experimentation and performance analysis are utilized to evaluate the proposed model. Existing blockchain-based security models have been significantly improved by our findings. Our model achieves a remarkable 9.5% reduction in delay, a 10.5% improvement in throughput, a 2.9% improvement in PDR, and a 4.5% reduction in energy consumption compared to alternative approaches. In addition, we evaluate the model's resistance to Sybil, Masquerading, and Flooding attacks, which are prevalent security threats for IoV deployments. Even under these attack scenarios, our model provides consistently higher QoS levels compared to existing solutions, ensuring uninterrupted and reliable data transmissions. In IoV deployments, the proposed routing model and side-chaining management approach have numerous applications and use-cases like Smart cities, industrial automation, healthcare systems, transportation networks, and environmental monitoring.
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