IoT is capable and helpful in interdisciplinary areas along with the convergence of multiple technologies and platforms. This study adheres the adaptation of data mining technologies along with big data and cloud computing with the IoT system with detailed discussion. This paper supports and provide systematic review and analysis based on the computational parameters and performance analysis. The analysis and discussion are based on the communication capability, system component communication, aspects of data mining, big data and cloud computing in IoT. Different types of transmission and communication barriers have also been discussed and analyze. Finally, based on the study and analysis a framework has been suggested for the smooth functioning of the IoT protocols.

The current era is observing the need of communication among different smart devices in the collaboration of Internet of Things (IoT). Smart device integration along with the load distribution is capable in controlling energy resources with the cost benefits. So, in this paper an efficient framework for the automatic and dynamic load distribution in IOT with smart grids mechanism has been presented. Our efficient dynamic load balancing framework has three phases. First shows the pre-processing, second phase shows the IoT distribution and communication procedure. Final phase is the object interconnection phase with grids.For the evaluation of our framework scaling mechanism has been adopted for testing of load clusters. The results indicate that it is capable in energy resource saving as it found to be uniform.