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Peer-to-Peer Networking and Applications

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23-09-2022

Field-clustering with sleep awake mechanism with fuzzy in wireless sensor network

Authors: Poonam Tiwari, Sandeep Kumar Gupta, Aruna Pathak

Published in: Peer-to-Peer Networking and Applications | Issue 1/2023

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Abstract

Wireless Sensor Networks (WSN) have widely grown worldwide and are utilized in all innovative applications, yet there are problems such as data overloading, packet drop, and lower data transmission rate. All these issues have been engendered due to the high energy consumption problem. The node consumes more energy and has less lifetime that might be disabled during the data transmission. To address these problems, a novel Wolf Fuzzy-based Aggregator Node selection (WFbANS) protocol is designed for the WSN environment. Initially, the node's parameters were validated and selected for the cluster hub. Consequently, the workless node has been identified to enable the sleep state. Furthermore, the planned energy-optimized model is tested in the MATLAB environment. Finally, the data was transferred, and the communication parameters were noted and compared with other models. The presented model has recorded the finest throughput rate of 350 Kbps, a data transfer rate of 99.7%, less energy consumption of 0.7 J, less packet drop of 2%, and a minor communication delay of 90 ms.

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Title: Field-clustering with sleep awake mechanism with fuzzy in wireless sensor network
Authors: Poonam Tiwari
Sandeep Kumar Gupta
Aruna Pathak
Publication date: 23-09-2022
Publisher: Springer US
Published in: Peer-to-Peer Networking and Applications / Issue 1/2023
Print ISSN: 1936-6442
Electronic ISSN: 1936-6450
DOI: https://doi.org/10.1007/s12083-022-01384-7

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