Migration techniques of data centric networks to internet of things with control plane based virtual sensor layer

Data centric networks are application specific and proprietary as against address centric networks which are uniquely addressable and standardized. Internet of Things which is a culmination of data centric and address centric networks have brought in a need to integrate various technologies which were otherwise in silos. The basic requirement of Internet of Things (IoT), is connecting anything, anytime and anywhere. Thus, our paper attempts to provide a brief idea of existing methodologies towards integration and propose a new architecture for Internet of Things towards integration of these most useful networks to the internet. As the volume of things connected have increased multifold have brought in new challenges with respect to monitoring and management of resources and data. Thus, this architecture is inspired from Software Defined concepts and attempts to divide the monitoring and the actual data into two layers namely the control and the data plane. The control plane will take care of dynamic resource discovery and provisioning based on user needs. The data plane deals only with pure/raw data. This model reduces the complexity by abstracting the control task from the data bounded physical layer.