Resilience-oriented communication topology optimization for airport snow removal IoV networks

In response to the collaborative control failure and operational efficiency degradation caused by communication node failures in airport snow removal cluster operations, a resilience enhancement method was proposed based on the Internet of Vehicles (IoV) topology optimization and dynamic formation reconfiguration. First, the dynamic interaction characteristics of snow removal operations were analyzed. A mission process-oriented performance evaluation metric was defined. Based on this, a resilience assessment model was developed for the snow removal cluster operations. Second, to enhance the invulnerability of the communication network under damaged conditions, the node degree variance was introduced as a structural survivability index. On this basis, a mixed integer semi-definite programming model for IoV topology optimization was formulated. Convex relaxation techniques were applied to decompose this NP-hard problem into a degree matrix optimization problem based on integer quadratic programming and a graph feasible solution problem based on semi-definite programming, thus achieving efficient solutions under complex constraints. Furthermore, to address the issue of coverage gaps caused by node failures, a dynamic contractive reconfiguration strategy based on remapping was designed to achieve the timely closure of physical operational gaps through the rapid self-healing of the logical topology. Simulation results demonstrate that the proposed method significantly improves the system's fault tolerance. In a 6-node stochastic network experiment, the optimized topological structure maintains basic formation configuration functions even under an extreme condition of 50% node loss, with the operational resilience improved by 13.1% after optimization. Further Monte Carlo statistics and parameter sensitivity analysis indicate that the node degree variance can reflect the network connectivity retention ability in a statistical sense. The vehicle lateral spacing and minimum overlap width have a significant impact on the effective coverage width. The effectiveness of topology optimization design in enhancing the operational resilience of connected airport vehicles under harsh environmental conditions is validated.