Detection of Attacks on Wireless Sensor Network Using Genetic Algorithms Based on Fuzzy

被引：0

作者：

Al Hayali, Shaymaa ^{[1
]}

Ucan, Osman ^{[1
]}

Rahebi, Javad ^{[2
]}

Bayat, Oguz ^{[1
]}

机构：

[1] Altinbas Univ, Istanbul, Turkey

[2] Turkish Aeronaut Assoc Univ, Ankara, Turkey

来源：

INTERNATIONAL JOURNAL OF RENEWABLE ENERGY DEVELOPMENT-IJRED | 2019年 / 8卷 / 01期

关键词：

wireless sensor network; fuzzy; genetic algorithm; detection of attack; malicious node; CLUSTERING ALGORITHMS;

D O I：

10.14710/ijred.8.1.57-64

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

In this paper an individual - suitable function calculating design for WSNs is conferred. A multi-agent-located construction for WSNs is planned and an analytical type of the active combination is built for the function appropriation difficulty. The purpose of this study is to identify the threats identified by clustering genetic algorithms in clustering networks, which will prolong network lifetime. In addition, optimal routing is done using the fuzzy function. Simulation results show that the simulated genetic algorithm improves diagnostic speed and improves energy consumption. (c) 2019. CBIORE-IJRED. All rights reserved

引用

页码：57 / 64

页数：8

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