車載網路受到各方廣泛討論，激發出許多新的議題，由於車載網路的通訊品質不穩定，速度快、節點多，封包傳送不易，因此許多人都採用分群式架構增進效能，以集中式管理群組，避免封包被重複傳送，降低封包碰撞的機會。然而，現有的分群機制只能用在即時方面的應用，在檔案傳輸方面效能不足。本篇論文擬改善C. Shea等人[1]所提出的分群機制File-based Affinity Propagation Cluster, FAPC，建立兼具動態性和檔案相關性的叢集架構，並且提出改善失去叢集管理員的重建機制，以提升分群的穩定性及吞吐量（throughput）。最後，我們以模擬證明所提出的方法優於C. Shea [1]的方法，以query hit ratio、retrieve file ratio、average number of clusters及average cluster head duration為效能指標，觀察在不同時間、車輛數目及車輛速度時效能表現。 / Vehicular Ad-hoc Network (VANET) has been widely discussed and many issues have been proposed. Due to VANET’s unstable quality, varying speed, lots of mobility nodes, it’s not easy to deliver packets. Thus many researchers suggested using cluster architecture to enhance performance. Because of the central management, we can avoid duplication of packets in the same cluster and decrease the probability of packet collision. However, we find most of the cluster architectures are suitable for real-time applications, but not for file transfer. In this research, we improve C. Shea’s [1] method by adding file-similarity by classifying into groups and reselecting cluster head, when the group of nodes have not cluster head. This cluster architecture can enhance stability and throughput. Finally, we use simulation to prove that our method outperforms Chen’s [1] cluster method in terms of query hit ratio, retrieve file ratio, average number of clusters and average cluster head duration.