INCREASING THE EFFICIENCY OF DATA GATHERING IN CLUSTERED WIRELESS SENSOR NETWORKS USING UAV
DOI:
https://doi.org/10.20535/2411-2976.12020.102-107Keywords:
wireless sensor networks, clustering, collection of monitoring data from UAVs, efficiency.Abstract
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.
References
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,
http://dx.doi.org/10.1155/2013/314732.
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.
https://doi.org/10.1016/j.aej.2016.08.003.
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.
s.
Safwan Alfattani, Wael Jaafar, Halim
Yanikomeroglu, Abbas Yongacoglu. Multi-UAV
Data Collection Framework for Wireless Sensor
Networks. 2019 IEEE Global Communications
Conference (Globecom).
https://arxiv.org/pdf/1910.10792.pdf.
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 –