Multi-Client Vehicle Sampling with Cluster-Head Data Aggregation

The patent segments the centralized data processing system into distributed cluster-based processing units. Vehicles are organized into clusters with designated cluster heads that perform local data aggregation and processing. This segmentation allows data processing to occur at multiple hierarchical levels (individual vehicles, clusters, and central server), reducing the need for all vehicles to communicate directly with the central server and thereby conserving wireless resources while maintaining processing capability.

The patent introduces cluster heads as intermediary entities between individual vehicles and the central server. These cluster heads aggregate data from multiple vehicles within their cluster and perform preliminary processing before forwarding consolidated information to the central server. This intermediary layer reduces the total communication overhead and wireless resource consumption while preserving the centralized system's data processing capabilities.

The patent divides the network communication structure into segments: individual vehicles communicate with their respective cluster heads, and cluster heads communicate with the central server. This segmentation reduces the number of direct communication links required between vehicles and the central infrastructure, thereby reducing network burden while maintaining complete data collection through the hierarchical aggregation process.

The patent merges data from multiple vehicles at the cluster head level before transmission to the central server. By combining data from several vehicles into consolidated transmissions through cluster heads, the system reduces the total number of communication transactions with the network infrastructure, thereby reducing network burden while preserving data collection completeness.