A Semantic MSOAH-IoT Design for Improving Efficiency and Solving Heterogeneity within IoT Applications

Abstract

The integration of Internet of Things (IoT) technology in order to develop and manage different real life applications such as smart cities, environmental surveillance, health care, precision agriculture and traffic monitoring, has proven to be a game changer. Different IoT hardware and software solutions are merging to meet different application requirements. However, with each new IoT application, there are new challenges to solve, because of the variety of communication protocols, data formats and the heterogeneity of smart objects on the network. Many companies develop middleware platforms to overcome the heterogeneity problems. However, most of these solutions are proprietary, monopolized and developed as vertical proprietary application stacks, so it prevents developers from reusing modules. This paper demonstrates some recent middleware approaches, especially the Service Oriented Architecture for Heterogeneity Issues within the Internet of Things (MSOAH-IoT), designed to solve hardware and software heterogeneity issues within IoT applications. Then proposes an enhancement of the MSOAH-IoT middleware, by implementing new features such as semantic web and context awareness, in order to establish a smart gateway, able to make decisions for automated management, while ensuring connection between heterogeneous smart objects.