Open AccessFuzzy Logic Approach for Routing in Internet of Things Network
Author(s) -
Reena P. Pingale,
S. N. Shinde
Publication year - 2021
Publication title -
tehnički glasnik
Language(s) - English
Resource type - Journals
eISSN - 1848-5588
pISSN - 1846-6168
DOI - 10.31803/tg-20210204155601
Subject(s) - computer science , residual , fuzzy logic , fuzzy inference system , routing (electronic design automation) , matlab , adaptive neuro fuzzy inference system , lossy compression , path (computing) , computer network , network performance , energy (signal processing) , process (computing) , inference , reliability engineering , fuzzy control system , algorithm , artificial intelligence , engineering , mathematics , statistics , operating system
A performance of network is evaluated by considering different parameters. The network lifetime depends on many factors Residual energy, Link lifetime and Delay. The Major Challenge in IoT is to the increased lifetime of low power and lossy network (RPL).The process considering input and output to evaluate Network performance by considering the above factors. The proposed system makes use of FIS (Fuzzy Inference System) for selecting the best path to maximize network lifetime. The outcome obtained by using MATLAB and Network performance is increased. The excellent route is selected if Residual Energy is 194, Link quality is 51.2 and Delay is 1.05 then excellent route quality is 73.4%.