Resilience Evaluation and Resource Allocation in UAV-Enabled IoT via Multiswarm Logistics Support

uncrewed aerial vehicle (UAV)–enabled Internet of Things UAV-enabled Internet of Things (UIoT) is composed of multiple UAV swarms, which are vulnerable to external shocks in variable environments. Currently, the majority of research on UIoT resilience primarily emphasizes internal resource reconfiguration to maintain mission execution, while overlooking the importance of performance recovery with logistics support. This article proposes a novel UIoT resilience evaluation framework that comprehensively analyzes the performance and resilience by considering various shocks and external resource support strategies. First, a UIoT modeling based on a multimodular community structure is established, and the evolutionary behaviors of UIoT are investigated by considering their cooperative adaptation mechanisms under dynamically changing operational conditions. Second, with internal allocation and external logistics support, a multistate resilience mechanism is developed, overcoming the limitations of prioritizing internal reconfiguration strategies. Third, dynamic node connection mechanisms and resource allocation strategies are proposed to maximize resilience recovery efficiency. Finally, a collaborative detection case involving 20-UAVs-IoT is illustrated to verify the effective resilience evaluation and resource allocation. The proposed method improves the resilience and performance recovery of UIoT networks, providing support for resilience evaluation and resource allocation in variable environments.