Journals Proceedings

Abstract

In Internet of Things (IoT), heterogeneous objects are connected as networks to facilitate the exchange of goods and services. These objects, varying from electronic devices to physical entities, rely on data models to be accessed and achieve their digital functionality. Nevertheless, we observe a divergence of data models in current IoT environments which has been influencing data exchange, share and integration from different sources. In this paper, we present a survey on IoT data models and provide background for a common understanding. Firstly, we introduce the concept of IoT and its emergence; and then we discuss IoT data models according to data structure and management operations to show current achievements and limitations; at last we illustrate the challenges and prospects to shed light on future work.