Distributed architecture for resource description and discovery in the IoT

TL;DR

This paper proposes a hybrid, distributed architecture for resource discovery and management in IoT environments, integrating Fog Computing and P2P overlays to enhance scalability and interoperability.

Contribution

It introduces a novel CoAP-based architecture combining Fog Computing and structured P2P networks for efficient IoT resource discovery and integration.

Findings

Enhanced scalability in IoT resource management

Improved interoperability through Web of Things protocols

Effective discovery and composition of IoT services

Abstract

Nowadays, the Internet of Things (IoT) creates a vast ecosystem of intelligent objects interconnected via the Internet, allowing them to exchange information and to interact. This paradigm has been extended to a new concept, called the Web of Things (WoT), considering that every physical object can be accessed and controlled using Web-based languages and protocols, such as: the CoAP protocol which is becoming the most accepted and suitable protocol in this context. Moreover, the architectures currently proposed for the creation of IoT environments lack efficient and standard support for the discovery, selection and composition of IoT services and their integration in a scalable and interoperable way. To overcome this, in this work, we propose a hybrid and distributed CoAP-based architecture, considering all these aspects by combining the Fog Computing paradigm and structured P2P overlay networks. Furthermore, we describe the different components of our architecture and explain the interaction between them.