An Innovative Throughput Analysis with Spectrum Sensing and Saturation Process in Internet of Things Environment
G. Ramkumar
Abstract
The Internet of things is one among the trending technology which is utilized for maximum of the applications of intelligent transmission. In recent times, the devices which are controlled by the internet are tremendously increased and that leads to the maximization of throughput to achieve high accuracy in information transfer. This research mainly focuses on throughput maximization and for that purpose, a novel approach is developed namely innovative throughput analysis with spectrum sensing and saturation (TASSIE). The core modules of this process are packet dropout, spectrum sensing and saturation throughput. The simulation of these modules is constructed in NS2 software and the parameters which are used for the performance analysis are network lifetime, dead nodes calculation, throughput and energy efficiency. The result shows that the proposed TASSIE model obtained maximum efficiency when compared with the baseline methods.