A New Approach in Energy Consumption Based on Genetic Algorithm and Fuzzy Logic for WSN

Ali Adnan Wahbi Alwafi, Javad Rahebi, Ali Farzamnia

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)


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.

Original languageEnglish
Title of host publicationProceedings of the 11th National Technical Seminar on Unmanned System Technology 2019
Subtitle of host publicationNUSYS 2019
EditorsZainah Md Zain, Hamzah Ahmad, Dwi Pebrianti, Mahfuzah Mustafa, Nor Rul Hasma Abdullah, Rosdiyana Samad, Maziyah Mat Noh
PublisherSpringer Singapore
Number of pages13
ISBN (Electronic)978911552816
ISBN (Print)9789811552809, 9789811552830
Publication statusPublished - 8 Jul 2020
Externally publishedYes
Event11th National Technical Symposium on Unmanned System Technology - Kuantan, Malaysia
Duration: 2 Dec 20193 Dec 2019
Conference number: 11

Publication series

NameLecture Notes in Electrical Engineering
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119


Conference11th National Technical Symposium on Unmanned System Technology
Abbreviated titleNUSYS 2019

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