A new approach in energy consumption based on genetic algorithm and fuzzy logic for wsn
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Tarih
2021
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Springer
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Although the sensor node is tiny, it covers large areas by connecting these nodes together wirelessly, it called wireless sensor network (WSN). WSNs are one of the common things that still evolving very fast nowadays. Routing protocols challenge the energy consumption of wireless sensor networks. In this paper, we proposed a new Fuzzy Logic and Genetic Algorithm based protocol (FL-GA) for WSNs, as follows, we used the fuzzy logic Mamdani method for finding the best cluster heads. We used two inputs for fuzzy, energy and distance, we used the Genetic Algorithm for optimization. Taking into account variable parameters, the choice of cluster heads will be more efficient and the cluster forming will be more accurate, all the nodes will almost die at the same time. One of the classic routing protocols is the Low Energy Adaptive Clustering Hierarchy (LEACH) protocol. We compared our protocol to the LEACH protocol. Our network nods, still alive much more than the LEACH protocol nodes. The proposed method is more efficient in extending the network lifetime and maximizing the total number of data packets received in the sink. © Springer Nature Singapore Pte Ltd 2021.
Açıklama
11th National Technical Symposium on Unmanned System Technology, NUSYS 2019 -- 2 December 2019 through 3 December 2019 -- -- 242089
Anahtar Kelimeler
Clustering, Fuzzy Logic, Genetic Algorithm, Wireless Sensor Network
Kaynak
Lecture Notes in Electrical Engineering
WoS Q Değeri
Scopus Q Değeri
Q4
Cilt
666
