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Erschienen in: Wireless Personal Communications 3/2020

27.01.2020

Fuzzy-Based Secure Authentication and Clustering Algorithm for Improving the Energy Efficiency in Wireless Sensor Networks

verfasst von: C. Sureshkumar, S. Sabena

Erschienen in: Wireless Personal Communications | Ausgabe 3/2020

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Abstract

Wireless Sensor Networks are categorized by the improved energy consumption parameters. The nodes are deployed in challenging surroundings and they are not communicated for a long time with lacking of energy level. These kinds of nodes will be the victim of security attacks, the conciliation nodes are guided all the data packets send to the base station of the network. In this paper proposes, The Fuzzy-based Secured Authentication and Clustering (FSAC) Algorithm observes the different kinds of the data packets transmitted within the sensors to avoid the attacks. The FSAC is implemented to use the proficient routing path to diminish the energy consumption. This method finds the adjacent transmitting node to improve the proficient path setup for the data packet routing using the fuzzy logic method. The simulation results specify that the proposed method increases the energy up to 12% compared to the related methods.

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Metadaten
Titel
Fuzzy-Based Secure Authentication and Clustering Algorithm for Improving the Energy Efficiency in Wireless Sensor Networks
verfasst von
C. Sureshkumar
S. Sabena
Publikationsdatum
27.01.2020
Verlag
Springer US
Erschienen in
Wireless Personal Communications / Ausgabe 3/2020
Print ISSN: 0929-6212
Elektronische ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-020-07113-8

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