Efficient IoT resource discovery approach based on P2P networks and Fog Computing

Abstract

The Internet of Things (IoT) objects, their provided resources and services, as well as their users, and the requests for these resources, are increasing. Consequently, it is becoming extremely difficult for users to find a specific IoT resource that fits their needs. The sheer number and wide range of equipment in IoT, coupled with the lack of standardized and coherent resource descriptions, have a significant impact on resource discovery. In this context, we propose a Fog-based Distributed Semantic IoT resource discovery (FDS-RD) solution. FDS-RD leverages semantic technologies and two levels of peer-to-peer (P2P) networks to provide a semantic and scalable IoT resource discovery. Additionally, to support real-time applications, FDS-RD capitalizes on the Fog computing paradigm to reduce the discovery time. Experimental results demonstrate that the proposed solution enhances the performance of the discovery process by increasing the relevance of the discovered resources and reducing the response time.