Improving Quality of Service in Software Defined-Internet of Things

The Internet of Things is a growing and emerging technology made up millions of interconnected smart objects which use Internet as the platform for connecting to each other and transferring information in heterogeneous environments. The multiplicity of protocols, the amount of packets sent, the sensitivity of packets to latency and loss require the various levels of quality of services. In order to be able to deliver quality of service effectively in heterogeneous environments, a centralized control module in the network is required. Software-defined networks with the ability to program and centralize the network can help us achieve this goal. By separating the data plane from the control plane, these networks provide us with mechanisms and facilities that increase the level of the QoS in the network. In this paper, we improve the quality of services in Software-defined Internet of Things using a fuzzy multi-objective approach which is applied to the routing process based on fuzzy goal programming algorithm. The results of this study can be used in the development of models and frameworks to improve the quality of services in the software defined-internet of things networks. The proposed method has better conditions than competitive algorithms in terms of end-to-end delay, number of violated flows and activated links.