Open Access

ARTICLE

Energy Efficient and Intelligent Mosquito Repellent Fuzzy Control System

Aaqib Inam¹, Zhu Li^1,*, Salah-ud-din Khokhar², Zubia Zafar³, Muhammad Imran⁴

1 School of Software, Institute of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an, China
2 School of Intelligent Manufacturing and Control Engineering, Qilu Institute of Technology, Jinan, 250200, China
3 Department of Medicine, Islam Medical College, Sialkot, Pakistan
4 Department of Electronics, G.C. University, Lahore, Punjab, 54000, Pakistan

* Corresponding Author: Zhu Li. Email:

(This article belongs to the Special Issue: The Next Generation of Artificial Intelligence and the Intelligent Internet of Things)

Computers, Materials & Continua 2023, 77(1), 699-715. https://doi.org/10.32604/cmc.2023.039707

Received 12 February 2023; Accepted 13 June 2023; Issue published 31 October 2023

Abstract

Mosquitoes are of great concern for occasionally carrying noxious diseases (dengue, malaria, zika, and yellow fever). To control mosquitoes, it is very crucial to effectively monitor their behavioral trends and presence. Traditional mosquito repellent works by heating small pads soaked in repellant, which then diffuses a protected area around you, a great alternative to spraying yourself with insecticide. But they have limitations, including the range, turning them on manually, and then waiting for the protection to kick in when the mosquitoes may find you. This research aims to design a fuzzy-based controller to solve the above issues by automatically determining a mosquito repellent’s speed and active time. The speed and active time depend on the repellent cartridge and the number of mosquitoes. The Mamdani model is used in the proposed fuzzy system (FS). The FS consists of identifying unambiguous inputs, a fuzzification process, rule evaluation, and a defuzzification process to produce unambiguous outputs. The input variables used are the repellent cartridge and the number of mosquitoes, and the speed of mosquito repellent is used as the output variable. The whole FS is designed and simulated using MATLAB Simulink R2016b. The proposed FS is executed and verified utilizing a microcontroller using its pulse width modulation capability. Different simulations of the proposed model are performed in many nonlinear processes. Then, a comparative analysis of the outcomes under similar conditions confirms the higher accuracy of the FS, yielding a maximum relative error of 10%. The experimental outcomes show that the root mean square error is reduced by 67.68%, and the mean absolute percentage error is reduced by 52.46%. Using a fuzzy-based mosquito repellent can help maintain the speed of mosquito repellent and control the energy used by the mosquito repellent.

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Keywords

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