Abstract
Using formalism of the queueing theory, we propose two-objective models for optimizing the number of unmanned aerial vehicles (UAV) designed for remote monitoring (reconnaissance) of certain regions. A model that takes into account the UAV failure in performing a flight mission is considered. The numerical method and examples of solving problems stated are presented.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
Moiseev, V.S., Gushchina, D.S., Moiseev, G.V., and Saleev, A.B., Unmanned Aerial Complexes. II. Classification, Basic Principles of Design and Application, Izv.Vuz. Av. Tekhnika, 2006, vol. 49, no. 3, pp. 3–5 [Russian Aeronautics (Engl. Transl.), 2006, vol. 49, no. 3]
Kaufmann, A. and Cruon, R., Les Phenomenes d’Attente. Theorie et Applications, Paris: Dunod, 1961.
Matveev, V.F. and Ushakov, V.G., Sistemy massovogo obsluzhivaniya (Queueing Systems), Moscow: Izd. MGU, 1984.
Osnovy ustroistva, proektirovaniya, konstruirovaniya i proizvodstva letatel’nykh apparatov (distantsionnopilotiruemye letatel’nye apparaty) (Fundamentals of Arrangement, Design, Construction and Production of Flight Vehicles (Remotely-Piloted Flight Vehicles)), Golubev, I.S. and Yankevich, Yu.I. (Eds.), Moscow: MAI, 2006.
Venttsel’, E.S., Issledovanie operatsii (Operation Research), Moscow: Sov. Radio, 1972.
Moiseev, V.S., Borzov, G.E., and Shafigullin, R.R., Application of Queueing Theory Methods to Choose the Optimal Number of Unmanned Artillery Reconnaissance Facilities, Materialy 20-oi Vserossiiskoi mezhvuzovskoi nauchno-tekhinicheskoi konferentsii “Elektromekhanicheskie i vnutrikamernye protsessy v energeticheskikh ustanovkakh, struinaya akustika i diagnostika, pribory i metody kontrolya prirodnoi sredy, veshchestv, materialov i izdelii”, (Proc. 20th All-Russia Conf. “Electromechanical and Interchamber Processes in Power Plants, Jet Acoustics and Diagnostics, Devices and Methods of Monitoring Environment, Substances, Materials and Articles), Kazan: Otechestvo, 2008, pp. 117–119.
Kolemaev, V.A., Teoriya veroyatnostei i matematicheskaya statistika (Theory of Probabilities and Mathematical Statistics), Moscow: Vysshaya shkola, 1991.
Venttsel’, E.S., Teoriya veroyatnostei (Theory of Probabilities), Moscow: Vysshaya shkola, 2002.
Moiseev, N.N., Matematicheskie zadachi sistemnogo analiza (Mathematical Problems of System Analysis), Moscow: Nauka, 1983.
Sigal, I.Kh. and Ivanova, A.P., Vvedenie v prikladnoe diskretnoe programmirovanie: modeli i vychislitel’nye algoritmy (Introduction to Applied Discrete Programming: Models and Computational Algorithms), Moscow: Fizmatlit, 2003.
Podinovskii. V.V. and Nogin, V.D., Pareto-optimal’nye resheniya mnogokriterial’nykh zadach (Pareto-Optimal Solutions of Multiobjective Problems), Moscow: Nauka, 1982.
Kozar, A.N., Mathematical Model for Spatial Control of an Unmanned Reconnaissance Correcting Helicopter when Targets are Hit by Controlled Artillery Missiles, Materialy 19-oi Vserossiiskoi mezhvuzovskoi nauchnotekhnicheskoi konferentsii “Elektromekhanicheskie i vnutrikamernye protsessy v energeticheskikh ustanovkakh, struinaya akustika i diagnostika, pribory i metody kontrolya prirodnoi sredy, veshchestv, materialov i izdelii”, (Proc. 19th All-Russia Conf. “Electromechanical and Interchamber Processes in Power Plants, Jet Acoustics and Diagnostics, Devices and Methods of Monitoring Environment, Substances, Materials and Articles), Kazan: Otechestvo, 2007, pp. 245–247.
Author information
Authors and Affiliations
Additional information
Original Russian Text © V.S. Moiseev, D.S. Gushchina, A.N. Kozar, G.E. Borzov, 2009, published in Izvestiya VUZ. Aviatsionnaya Tekhnika, 2009, No. 2, pp. 58–61.
About this article
Cite this article
Moiseev, V.S., Gushchina, D.S., Kozar, A.N. et al. A Problem of choosing an optimal number of information unmanned aerial vehicles. Russ. Aeronaut. 52, 221–227 (2009). https://doi.org/10.3103/S1068799809020147
Received:
Published:
Issue Date:
DOI: https://doi.org/10.3103/S1068799809020147