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Enhanced Energy Harvesting for IOT based Fuzzy Logics by using Gaussian Membership Functions
Author(s) -
Harmanjot Singh,
Chanpreet Kaur
Publication year - 2018
Publication title -
international journal of computer applications
Language(s) - English
Resource type - Journals
ISSN - 0975-8887
DOI - 10.5120/ijca2018916592
Subject(s) - computer science , internet of things , fuzzy logic , gaussian , energy harvesting , energy (signal processing) , artificial intelligence , embedded system , mathematics , statistics , physics , quantum mechanics
Energy harvesting is a capable approach for the developing IOT. Thus, nodes in IOTs are battery-powered, thus a lowpower feature is a fundamental requirement. For batterypowered nodes, methods are required in order to reduce possible energy consumption. This report delivers that numerous high efficiency techniques are suggested until now for improved power consumption. Beyond these individuals hairy based IOTs has proved very efficient success but still it can be enhanced additional by simply introducing additional membership rights functions. The reason for this kind of report will be to propose Gaussian sensible models based membership rights function for optimizing in addition to decreasing utilization sleep mode.

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