Energy aware Internet of Things using Gaussian membership function
Sumeet R. Singh, Harpreet Kaur · 2016
The Internet of things (IoT) evolves when everyday ordinary objects have inter-connected microchips inside them. The existing literature has ignored the use of Bell shaped as membership functions in fuzzy logic based Internet of things. These shapes have tendency to increase accuracy and precision of Internet of things. The existing methodologies involved traditional triangular membership functions that used fixed parameters. If these parameters get changed, results would lead to reduction in energy consumption. To give smooth move between levels, Bell shaped membership functions can be utilized. They can guide for firing the maximum number of rules in the rule base and from now on a more precise representation of the input-output relationship is accomplished. In this paper we have designed a Gaussian membership function to design and implement Internet of things. Experimental results clearly indicate that the proposed technique outperforms over the available technique.