Detection of attacks on wireless sensor network using genetic algorithms based on fuzzy
Yükleniyor...
Dosyalar
Tarih
2019
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Diponegoro Univ
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
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
Açıklama
Anahtar Kelimeler
Wireless Sensor Network, Fuzzy, Genetic Algorithm, Detection Of Attack, Malicious Node
Kaynak
International Journal of Renewable Energy Development-Ijred
WoS Q Değeri
N/A
Scopus Q Değeri
Q2
Cilt
8
Sayı
1
