Development of a simulation model for using a swarm of UAVs in agriculture

Nawar Mohammad; L.I. Voronova; V.I. Voronov

doi:10.1117/12.2643249

6 July 2022 Development of a simulation model for using a swarm of UAVs in agriculture

Nawar Mohammad, L.I. Voronova, V.I. Voronov

Author Affiliations +

Proceedings Volume 12296, International Conference on Remote Sensing of the Earth: Geoinformatics, Cartography, Ecology, and Agriculture (RSE 2022); 122960T (2022) https://doi.org/10.1117/12.2643249
Event: International Conference on Remote Sensing of the Earth: Geoinformatics, Cartography, Ecology, and Agriculture, 2022, Dushanbe, Republic of Tajikistan

Abstract

The article discusses the issues of the possibility of using a swarm of unmanned aerial vehicles in remote agricultural areas to create a wide coverage area for transmitting information from ground-based wireless sensor networks. Architectural solutions for flying sensor networks are studied and a simulation model is presented that integrates flying sensor networks (FSN) and ground wireless sensor networks (WSN) for data transmission. The model studies clustering of a swarm of UAVs using the K-means method and finding the shortest path when routing using Dijkstra's algorithm. Computer simulation of optimal routing for a swarm of 250 UAVs has been carried out.

Citation Download Citation

Nawar Mohammad, L.I. Voronova, and V.I. Voronov "Development of a simulation model for using a swarm of UAVs in agriculture", Proc. SPIE 12296, International Conference on Remote Sensing of the Earth: Geoinformatics, Cartography, Ecology, and Agriculture (RSE 2022), 122960T (6 July 2022); https://doi.org/10.1117/12.2643249

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