The Method of Time Distribution for Environment Monitoring Using Unmanned Aerial Vehicles According to an Inverse Priority

Wójcik W. Kalizhanova A. Kulyk Y.A. Knysh B.P. Kvyetnyy R.N. Kulyk A.I. Sichko T.V. Dumenko V.P. Bezstmertna O.V. Adikhanova S. Zhassandykyzy M. Junisbekov M. Smailov N. Yussupova G.
2022 Polskie Towarzystwo Inzynierii Ekologicznej (PTIE)

Journal of Ecological Engineering
2022 #23 Issue 11 179 - 187 pp.

This paper presents a time-saving method for monitoring the ecology of a dispersed territory using the delivery of measurement units provided by unmanned aerial vehicles with measurement sensors according to a reverse priority algorithm. It is achievable because of the decreasing mean waiting time of the order inside a queue during low-priority order servicing. The experimental research that confirms the efficiency of the proposed method in the case of delivery distributed measurement systems for low-priority measurement is carried out. The experimental research of the proposed method in the case of one-channel and many-channel SMD that can have an option of order rejection or an in-queue waiting option is conducted in WeBots. The probability distributions in the case of this system applying are compared with similar probability distributions in the case of systems of direct priority applying. Comparison and analysis enable us to conclude that the probability distribution in the case of SMD with a direct priority of delivery tends to decrease and approximates zero. This is related to the fact that means at the end of the queue to be handled have a lower priority, as these means of measurement take longer to handle the order than those at the head of the queue. Thus, the means of a low priority will be serviced in the last charge and there is a constant possibility that in some cases such orders will be rejected. The proposed method enables moderate this situation by using increasing the possibility of servicing the low-priority orders. The method can increase the efficiency of environmental monitoring and pollution emission control

Distributed measurement , Environment monitoring , Pollution monitoring , System of mass service , Uav

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Lublin University of Technology, ul. Nadbystrzycka 38a, Lublin, 20-618, Poland
Institute Information and Computational Technologies CS MES RK, Pushkin St 125, Almaty, 050000, Kazakhstan
Vinnytsya National Technical University, 95,Khmelnytsky Hwy, Vinnytsya, 21021, Ukraine
Vinnytsya National Medical University, 56,Pirogova St, Vinnytsya, 21018, Ukraine
Vasyl’ Stus Donetsk National University, 21,600-Richchya St, Vinnytsia, 21000, Ukraine
Vinnytsia Mykhailo Kotsiubynskyi State Pedagogical University, Ostroz’koho St,32, Vinnytsia, 21000, Ukraine
East Kazakhstan State University, 30-Y Gvardeyskoy Divizii, Ust’-Kamenogorsk, 070000, Kazakhstan
Turan University, Satpaev Street 16А, Almaty, 050013, Kazakhstan
M.Kh. Dulaty Taraz Regional University, Tole Bi St,40, Taraz, Kazakhstan
Satbayev University, Satpaev Street 22, Almaty, 050000, Kazakhstan

Lublin University of Technology
Institute Information and Computational Technologies CS MES RK
Vinnytsya National Technical University
Vinnytsya National Medical University
Vasyl’ Stus Donetsk National University
Vinnytsia Mykhailo Kotsiubynskyi State Pedagogical University
East Kazakhstan State University
Turan University
M.Kh. Dulaty Taraz Regional University
Satbayev University

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