A Software-Defined Network-based Intelligent Decision Support System for the Internet of Things Networks

The concept of connected devices is effectively integrated to create heterogeneous wireless networks like the Internet of Things (IoT). These networks are using multiples technologies and standards to manage open, complex, distributed, and dynamic networks. The smart home is one of the amazing area of services in IoT where smart devices are connected with consumer devices for better monitoring and controlling the systems. With tremendous benefits, the smart devices have some barriers to accomplish the tasks like heterogeneity which leads to interoperability, big data handling, scalability, resource allocation, and connectivity issues. In this context, this paper proposes an intelligent Software Defined Network-based Intelligent Decision Support System for IoT (SDN-IDSSIoT). The proposed system contains two main modules including IDSS conceptual model and SDN-based architecture to support interoperability among heterogeneous smart home devices. Experiments are conducted to evaluate the proposed system in terms of average throughput and round trip time as compared to the stat of the art existing models. The proposed model archives around 20% more throughput, around 30% less round trip time in the presence of different number of nodes.