Map Generation Scheme Based on Nodes Communication Delay

In the current era, the expansion of subterranean parking facilities has been notable, accompanied by the consequential issue of prolonged time expenditure in locating parked vehicles. This situation pertains to what can be termed as reverse vehicle discovery. Distinguishing itself from outdoor positioning, indoor localization presents a more intricate set of impediments attributed to diminished signal reception quality of satellite-based positioning signals, compounded by the scarcity of communication base stations in such enclosed environments. In light of these challenges, this research introduces an innovative methodology for establishing a node map within the Internet of Vehicles (IoV) framework. This proposed approach involves the utilization of communication delay metrics amongst stationary subterranean vehicles, whereby the communication delays are treated as indicative of relative distances. Subsequently, a comprehensive node distribution map is formulated, drawing upon the derived distance matrix. Rigorous simulation experiments are conducted to validate the efficacy of the devised algorithms. The outcomes of these empirical assessments lend credence to the potential utility of the proposed techniques as foundational components for enhancing navigation systems within indoor vehicular environments.