A Four-Layer Flexible Spatial Data Framework towards IoT Application

Abstract

Huge amounts of spatial documents have been generated every day in IoT (internet of things) applications. Both spatial and textual or other information of complicated structure should be taken into account when providing services. Therefore, it is crucial to store and process these data efficiently in IoT applications. In this paper, we propose a flexible four-layer framework for spatial data towards IoT applications, which decouples the spatial and content information and organizes the whole space with a pyramid structure. The four layers of the framework are geography node, application node, logical node and storage node that are related with the accurate spatial information, content information with rich semantic, flexible space organization and efficient storage with hybrid database respectively. Among them, logical node is the center which associates the other nodes, and provides an efficient query processing method using the pyramid structure. We apply the four-layer framework in the Smarter City Charging Pile System and construct the four kinds of nodes to realize the function that recommends the best matching charging piles for electric vehicle drivers taking both distance and pile state into consideration. The compare discussion shows that our framework has high flexibility, supports rich semantic and is more acceptable in practical IoT applications.