Fuzzy Logic Approach for Routing in Internet of Things Network
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 e...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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University North
2021-01-01
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| Series: | Tehnički Glasnik |
| Subjects: | |
| Online Access: | https://hrcak.srce.hr/file/367611 |
| _version_ | 1827282341780783104 |
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| author | Reena Pingale S. N. Shinde |
| author_facet | Reena Pingale S. N. Shinde |
| author_sort | Reena Pingale |
| collection | DOAJ |
| description | 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%. |
| first_indexed | 2024-04-24T09:16:31Z |
| format | Article |
| id | doaj.art-eb4c41b088df4b848bc16db7c709732a |
| institution | Directory Open Access Journal |
| issn | 1846-6168 1848-5588 |
| language | English |
| last_indexed | 2024-04-24T09:16:31Z |
| publishDate | 2021-01-01 |
| publisher | University North |
| record_format | Article |
| series | Tehnički Glasnik |
| spelling | doaj.art-eb4c41b088df4b848bc16db7c709732a2024-04-15T16:49:14ZengUniversity NorthTehnički Glasnik1846-61681848-55882021-01-01151182410.31803/tg-20210204155601Fuzzy Logic Approach for Routing in Internet of Things NetworkReena Pingale0S. N. Shinde1Sinhgad College of Science, S. No. 9/1/5 and 9/2/4, Off West. Bypass Highway, Ambegaon (BK.), Pune - 411041, Maharashtra, IndiaC.M.C.S. College, Udoji Maratha Boarding Campus, Near, Gangapur Road, D. K. Nagar, Nashik, Maharashtra 422013, IndiaA 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%.https://hrcak.srce.hr/file/367611fuzzy logicInternet of Things (IoT)link lifetimereliabilityresidual energy |
| spellingShingle | Reena Pingale S. N. Shinde Fuzzy Logic Approach for Routing in Internet of Things Network Tehnički Glasnik fuzzy logic Internet of Things (IoT) link lifetime reliability residual energy |
| title | Fuzzy Logic Approach for Routing in Internet of Things Network |
| title_full | Fuzzy Logic Approach for Routing in Internet of Things Network |
| title_fullStr | Fuzzy Logic Approach for Routing in Internet of Things Network |
| title_full_unstemmed | Fuzzy Logic Approach for Routing in Internet of Things Network |
| title_short | Fuzzy Logic Approach for Routing in Internet of Things Network |
| title_sort | fuzzy logic approach for routing in internet of things network |
| topic | fuzzy logic Internet of Things (IoT) link lifetime reliability residual energy |
| url | https://hrcak.srce.hr/file/367611 |
| work_keys_str_mv | AT reenapingale fuzzylogicapproachforroutingininternetofthingsnetwork AT snshinde fuzzylogicapproachforroutingininternetofthingsnetwork |