DBSCAN을 사용한 효과적인 모바일 데이터 오프로딩

Effective Mobile Data Offloading using DBSCAN

Recently, many researchers claim that mobile data offloading is a key solution to alleviating overloaded cellular traffic by dividing the overloaded traffic with femtocells, WiFi networks or users. In this paper, we propose an idea to select a group of users, known as VIPs, that is able to effectively transfer the data to others using Density-Based Spatial Clustering of Application with Noise, also known as DBSCAN algorithm. We conducted our experiments using NCCU real trace dataset. The results show that our proposed idea offload about 70~77% of the network with VIP set size of four, which is better than the compared methods.