Trusted routing protocol for federated UAV ad hoc network

Abstract

Purpose In the final step, the trust model is applied to the on-demand federated multipath distance vector routing protocol (AOMDV) to introduce path trust as a foundation for routing selection in the route discovery phase, construct a trusted path, and implement a path warning mechanism to detect malicious nodes in the route maintenance phase, respectively. Design/methodology/approach A trust-based on-demand multipath distance vector routing protocol is being developed to address the problem of flying ad-hoc network being subjected to internal attacks and experiencing frequent connection interruptions. Following the construction of the node trust assessment model and the presentation of trust evaluation criteria, the data packet forwarding rate, trusted interaction degree and detection packet receipt rate are discussed. In the next step, the direct trust degree of the adaptive fuzzy trust aggregation network compute node is constructed. After then, rely on the indirect trust degree of neighbouring nodes to calculate the trust degree of the node in the network. Design a trust fluctuation penalty mechanism, as a second step, to defend against the switch attack in the trust model. Findings When compared to the lightweight trust-enhanced routing protocol (TEAOMDV), it significantly improves the data packet delivery rate and throughput of the network significantly. Originality/value Additionally, it reduces the amount of routing overhead and the average end-to-end delay.

AI-Empowered Flying Ad-Hoc Networks for Dynamic Connectivity

“…The convergence of AI techniques and FANETs introduces a new era of communication protocols that are dynamic, adaptive, and intelligent. AI-enhanced communication protocols redefine how data is exchanged and transmitted within FANETs, optimizing network performance in the dynamic airspace [16] [17] [18 [19] A. Predictive Data Routing AI-driven communication protocols leverage machine learning to predict communication paths based on historical data and real-time observations. These protocols anticipate node trajectories and adjust data routing accordingly, ensuring reliable and efficient data exchange despite node mobility.…”