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- Title
Detection of Attacks on Wireless Sensor Network Using Genetic Algorithms Based on Fuzzy.
- Authors
Hayali, Shaymaa Al; Ucan, Osman; Rahebi, Javad; Bayat, Oguz
- Abstract
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.
- Publication
International Journal of Renewable Energy Development, 2019, Vol 8, Issue 1, p57
- ISSN
2252-4940
- Publication type
Academic Journal
- DOI
10.14710/ijred.8.1.57-64