Services Search Techniques Architecture for the Internet of Things

Abstract

As we are moving towards the Internet of Things (IoT) with web services and cloud computing, we will have thousands of connected sensors and their data to handle and benefit from their services. With the enormous number of sensors available in the IoT environment, effectively and efficiently searching and selecting the best sensors regarding the user’s requirement has recently become a crucial challenge. In this paper, we propose an effective context-aware method to cluster sensors in three categories in the form of the Semantic category (SC). Firstly, sensors of each SC are grouped based on their type to create Semantic Type Sensor Network (SSTN), in which sensors with similar context information are gathered into one cluster.