A novel SDN controller based on Ontology and Global Optimization for heterogeneous IoT architecture
Hai Anh Tran, Duc Tran, Linh Giang Nguyen, Abdelhamid Mellouk, Hieu Mac, Van Tong · 2017
Today, our modern living world is covered by ubiquitous systems that offer the ability to assess, understand and handle the environmental indicators of our urban environment as well as our delicate ecology and natural resources. The sudden increase of such systems creates the notion of Internet of Things (IoT). However, the variety of components and wide-area deployments in IoT create a disadvantage point: the heterogeneity problem. Such system has multiple heterogeneous wireless communication solutions with multiple access technologies such as bluetooth, wifi, zigbee, cellular, MANET, etc. Concretely, the effectiveness is revealed by a variety of access technologies that are working on a common core network with a common policy for every type of access network. The challenge is how to manage this heterogeneous network in a dynamic context with an open and distributed infrastructure. One of the most efficiency solutions for this issue is the Software-Defined Network approach (SDN). This paper proposed a new SDN-based architecture with a centralized controller that has a capacity of self-observing and adapting. The SDN controller has the ability to incorporate and support user requests to classify flow scheduling over task-level. Besides, the paper creates an Ontology for analyzing user's request and based on the Lagrange relaxation theory for a heuristic routing algorithm. The experimental works showed that the proposed solution yielded impressive and good results.