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The Journal of Supercomputing

Erschienen in:

28.08.2018

Safety relay selection algorithms based on fuzzy relationship for wireless sensor networks

verfasst von: Tung-Huang Feng, Neng-Yih Shih, Min-Shiang Hwang

Erschienen in: The Journal of Supercomputing | Ausgabe 8/2019

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Abstract

The remote nodes using a selecting relay algorithm (SRA) transmit its dates on wireless sensor networks (WSNs). The algorithm can enhance the network life cycle. It selects an appropriate cooperation node as a relay node by balancing between power consumption and communication. More recently, scholars have applied a fuzzy theory to SRA and achieved better tradeoffs. This study further simulates the application of four set types of attacks each layer on WSNS. Then, comparing with different fuzzification and defuzzification methods, a fuzzy inference system was built for the security performance. The results show that there are two methods which can improve the algorithm’s safety: one is fuzzification Or-Max connection Method, and the other is defuzzification of Lom and Som methods.

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Titel: Safety relay selection algorithms based on fuzzy relationship for wireless sensor networks
verfasst von: Tung-Huang Feng
Neng-Yih Shih
Min-Shiang Hwang
Publikationsdatum: 28.08.2018
Verlag: Springer US
Erschienen in: The Journal of Supercomputing / Ausgabe 8/2019
Print ISSN: 0920-8542
Elektronische ISSN: 1573-0484
DOI: https://doi.org/10.1007/s11227-018-2547-7

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