An efficient graph modeling approach for storing and analyzing heterogeneous iot data

This requires a data model that enables to easily represent the entities and support adding, deleting, and updating relations between entities without impacting application availability. Fortunately, graph databases are purposely-built to store highly connected data with nodes representing entities and edges representing relationships between these entities. In this paper, we propose a general graph model that can be used to design graph databases in order to support effectively storing and analyzing IoT data. We represent IoT data based on a graph model and consider smart building data management as a case study. Through the analysis and comparison of experimental results in various aspects, we find that our graph modeling approach is applicable for storing and analyzing the IoT connected data.