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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM24277

FUZZY LOGIC BASED IMPROVED STABLE ELECTION PROTOCOL TO INCREASE LIFETIME OF WSN ASSISTED IOT NETWORK

Stream/Area:

-

Subject:

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Paper ID:

10.55041/IJSREM24277

Volume:

7 |

7 |

Jul 2023

Pages:

Publication Frequency:

Monthly (12 issues per year)

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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

SR

Sunny Rana

SKR

Sandeep Kumar Rawat

SK

Shivanshu Katoch

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Abstract

Due to their amazing capabilities and expanding array of applications, wireless sensor networks have attracted a lot of interest from general public and scientific groups. A specialised transducer that is part of WSN brings sensing capabilities to IoT. Low battery and resource capacity of this equipment poses numerous difficulties for both academia and business. Many current WSN routing protocols have been improved to solve certain LEACH protocol problems. The goal of suggested approach is to prolong network longevity while maintaining good scalability because LEACH’s performance rapidly degrades with growing networks. The fuzzy logic-based Stable Election Protocol (FI-SEP) is described in this work. suggested approach aims to increase network longevity in spite of network size growth. In this study, the network performance of the FI-SEP and I-SEP routing protocols are compared. According to simulation results, FI-SEP performs better in terms of energy efficiency on large-scale WSNs than the benchmarked protocol.

KEYWORDS

WSNs Clustering IoT Routing I-SEP Energy efficiency Fuzzy logic

Cite This Article

Sunny Rana, Sandeep Kumar Rawat, Shivanshu Katoch, "FUZZY LOGIC BASED IMPROVED STABLE ELECTION PROTOCOL TO INCREASE LIFETIME OF WSN ASSISTED IOT NETWORK," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 7, Jul 2023. https://doi.org/10.55041/IJSREM24277

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Publication Date

2/6/2023

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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