Valery Romaniuk, Olexandr Lysenko, Anton Romaniuk, Olexandr Zhuk


Background. To implement the process of collecting UAV monitoring data from sensor nodes in the wireless sensor networks (WSN) control system, it is necessary to implement appropriate methods and algorithms. To increase the efficiency of the data collection process in the WSN, it is clustered, the main cluster nodes are selected that collect monitoring data in the cluster and transmit this data to the UAV when it approaches. The methods proposed today for collecting data from nodes of sensor networks using UAVs do not consider the requirements of various target control functions, especially the functioning of
specific networks and require further improvement.
Objective. The aim of the work is to analyze and consider ways to improve the efficiency of the process of collecting data from sensor nodes of the WSN using UAVs during its clustering.
Methods. In contrast to the traditional ways to solve the problem of collecting UAV monitoring data from WSN nodes, a set of methods is proposed to achieve various objective control functions (maximizing WSN functioning time, minimizing data collection time, minimizing the number of UAVs) at various stages of network operation.
Results. The application of the proposed methods to increase the efficiency of monitoring data collection allows increasing the network lifetime, reducing data collection time and reducing the number of UAVs required for data collection.
Conclusions. To achieve various target management functions at the main stages of monitoring data collection in wireless sensor networks, many methods have been proposed to improve the basic indicators of their functioning.


wireless sensor networks; clustering; collection of monitoring data from UAVs; efficiency.

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Imad Jawhar, Nader Mohamed, Jameela Al-Jarood.

UAV-based data communication in wireless sensor

networks: Models and Strategies. International

Conference on Unmanned Aircraft Systems

(ICUAS), 2015.

Huseyin Okcu, Mujdat Soyturk. Distributed

Clustering Approach for UAV Integrated Wireless

Sensor Networks. International Journal of Ad Hoc

and Ubiquitous Computing, 2014, Vol.15, No. 1–3,

pages: 106 – 120.

Asim Zeb, A. K. M. Muzahidul Islam, Mahdi

Zareei, Ishtiak Mamoon, Nafees Mansoor, Sabariah

Baharun, Yoshiaki Katayama, Shozo Komaki.

Clustering Analysis in Wireless Sensor Networks:

The Ambit of Performance Metrics and Schemes

Taxonomy. International Journal of Distributed

Sensor Networks. 2016.

Tony Ducrocq, Michaël Hauspie, Nathalie Mitton.

Balancing Energy Consumption in Clustered

Wireless Sensor Networks ISRN Sensor Networks

Volume 2013, 14 pages,

Romaniuk А. The UAV monitoring data collection

management tasks in wireless sensor networks.

Collection of scientific papers MІТІ. Kyiv. 2018. №

pp. 103 – 112.

Romaniuk A. Method of the date collecting in

wireless sensor networks with unmanned aerial

vehicles. Collection of scientific papers MІТІ. Kyiv.

№ 1. pp. 90 – 99.

Zhuk A., Romaniuk A., Tkachenko D. Analyze

topology control methods wireless sensor networks.

Collection of scientific papers MІТІ. Kyiv. 2017. №

pp. 41 – 47.

Amit Sarkar, T.Senthil Murugan. Routing protocols

for wireless sensor networks: What the literature

says? Alexandria Engineering Journal. Volume 55,

Issue 4, December 2016, Pages 3173-3183.

Romaniuk V., Zhuk O., Tkachenko D. Power

management in wireless sensor networks. Bulletin of

NTU “KhPI”. Series: Mechanical-technological

systems and complexes. Kharkov: NTU “KhPI”,

№ 20 (1242). pp. 53 – 59.

Zagorujko N. G. Prikladnye metody analiza

dannyh i znanij. Novosibirsk: IM SO RAN, 1999.


Safwan Alfattani, Wael Jaafar, Halim

Yanikomeroglu, Abbas Yongacoglu. Multi-UAV

Data Collection Framework for Wireless Sensor

Networks. 2019 IEEE Global Communications

Conference (Globecom).

Stepanenko E. Positioning model of

telecommunication aeroplatform to optimize the

capacity of nodes in its coverage area. Collection of

scientific papers MІТІ. Kyiv. 2019. № 1. pp. 97 –