Improving TICK efficiency by GA-based fuzzy membership functions optimization in Wireless Sensor Networks
نویسندگان
چکیده
In wireless sensor networks (WSNs), the energy and computational capacity of nodes are limited they deployed in a hostile environment. An adversary can easily compromise node injects false data into network. This injection drastically depletes designated on route for forwarding source data. Many filtering methods have been proposed to tackle security issues but also increase communication cost by exchanging control keying messages which consumes more with Fuzzy logic TICK was reduce efficiency en-route selecting re-encrypting efficiently avoiding exchange Membership functions fuzzy system need be optimized order use inferencing efficiently. We propose an membership method using genetic algorithm. The algorithm determines optimal help most favourite based Simulation results show that optimizes achieves better conservation at nodes.
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ژورنال
عنوان ژورنال: Journal of Applied and Emerging Sciences
سال: 2021
ISSN: ['1814-070X', '2415-2633']
DOI: https://doi.org/10.36785/2021111417