Abstract
This paper deals with the model of observation posts deployment in the area of operations. The goal of the model is to find optimal positions for a number of observation posts in order to observe as large area of interest as possible provided that the tactical requirements and conditions for the task at hand are kept. The first part of the paper presents the mathematical formulation of the model. Then, a stochastic algorithm based on the simulated annealing principle is proposed for the problem solution. Next part shows the application of the model which is implemented in the Tactical Decision Support System, the purpose of which is to aid commanders on the tactical level in their decision-making process. The last part shows results from experiments conducted on a set of benchmark problems which are based on the typical military scenarios.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Malandrino, F., Chiasserini, C.F., Casetti, C., Chiaraviglio, L., Senacheribbe, A.: Planning UAV activities for efficient user coverage in disaster areas. Ad Hoc Netw. 89, 177–185 (2019)
Langhammer, J.: UAV Monitoring of Stream Restorations. Hydrology 6(2), 29 (2019)
Räsänen, A., Virtanen, T.: Data and resolution requirements in mapping vegetation in spatially heterogeneous landscapes. Remote Sens. Environ. 230, 111207 (2019)
Huang, H., Savkin, A.V.: A method for optimized deployment of unmanned aerial vehicles for maximum coverage and minimum interference in cellular networks. IEEE Trans. Ind. Inform. 15(5), 2638–2647 (2018)
Škorput, P., Mandžuka, S., Gregurić, M., Vrančić, M.T.: Applying Unmanned Aerial Vehicles (UAV) in traffic investigation process. In: Karabegović, I. (ed.) NT 2019. LNNS, vol. 76, pp. 401–405. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-18072-0_46
Chuang, C.C., Rau, J.Y., Lai, M.K., Shih, C.L.: Combining unmanned aerial vehicles, and internet protocol cameras to reconstruct 3-D disaster scenes during rescue operations. Prehospital Emerg. Care 23(4), 479–484 (2019)
Stodola, P., Mazal, J.: Tactical decision support system to aid commanders in their decision-making. In: Hodicky, J. (ed.) MESAS 2016. LNCS, vol. 9991, pp. 396–406. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-47605-6_32
Stodola, P., Nohel, J., Mazal, J.: Model of optimal maneuver used in tactical decision support system. In: International Conference on Methods and Models in Automation and Robotics, Miedzyzdroje, Poland, pp. 1240–1245 (2016)
Drozd, J.: Experiment of the tactical decision support system within company defensive operation. In: Mazal, J. (ed.) MESAS 2018. LNCS, vol. 11472, pp. 544–552. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-14984-0_40
Stodola, P., Kozůbek, J., Drozd, J.: Using unmanned aerial systems in military operations for autonomous reconnaissance. In: Mazal, J. (ed.) MESAS 2018. LNCS, vol. 11472, pp. 514–529. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-14984-0_38
Drozd, J., Stodola, P., Křišťálová, D., Kozůbek, J.: Experiments with the UAS reconnaissance model in the real environment. In: Mazal, J. (ed.) MESAS 2017. LNCS, vol. 10756, pp. 340–349. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-76072-8_24
Rybanský, M., Dohnal, F., Hošková-Mayerová, Š., Svatoňová, H.: The impact of drainage on terrain UGV movement. In: IGRSM International Conference and Exhibition on Geospatial & Remote Sensing (IGRSM 2018). In: IOP Conference Series: Earth and Environmental Science, vol. 169 (2018)
Blaha, M., Šilinger, K.: Application support for topographical-geodetic issues for tactical and technical control of artillery fire. Int. J. Circuits Syst. Sign. Process. 12, 48–57 (2018)
Mazal, J., Stodola, P., Procházka, D., Kutěj, L., Ščurek, R., Procházka, J.: Modelling of the UAV safety manoeuvre for the air insertion operations. In: Hodicky, J. (ed.) MESAS 2016. LNCS, vol. 9991, pp. 337–346. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-47605-6_27
Mazal, J., Stodola, P., Hrabec, D., Kutěj, L., Podhorec, M., Křišťálová, D.: Mathematical modeling and optimization of the tactical entity defensive engagement. Int. J. Math. Models Methods Appl. Sci. 9, 600–606 (2015)
Bruzzone, A.G., Procházka, J., Kutěj, L., Procházka, D., Kozůbek, J., Scurek, R.: Modelling and optimization of the air operational manoeuvre. In: Mazal, J. (ed.) MESAS 2018. LNCS, vol. 11472, pp. 43–53. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-14984-0_4
Nohel, J.: Possibilities of raster mathematical algorithmic models utilization as an information support of military decision making process. In: Mazal, J. (ed.) MESAS 2018. LNCS, vol. 11472, pp. 553–565. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-14984-0_41
Petrea, N., et al.: Experimental survey regarding the dangerous chemical compounds from military polygons that affect the military health and the environment. Rev. Chim. 69(7), 1640–1644 (2018)
Hodicky, J.: Standards to support military autonomous system life cycle. In: Březina, T., Jabłoński, R. (eds.) MECHATRONICS 2017. AISC, vol. 644, pp. 671–678. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-65960-2_83
Hodicky, J., Prochazka, D., Prochazka, J.: Training with and of autonomous system – modelling and simulation approach. In: Mazal, J. (ed.) MESAS 2017. LNCS, vol. 10756, pp. 383–391. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-76072-8_27
Hodicky, J., Prochazka, D., Prochazka, J.: Automation in experimentation with constructive simulation. In: Mazal, J. (ed.) MESAS 2018. LNCS, vol. 11472, pp. 566–576. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-14984-0_42
Pomazalová, N., Korecki, Z., Darkwah, S.A.: The new approaches in logistics services accomplishment. In: 5th European Conference on Innovation and Entrepreneurship. National and Kapodistrian University of Athens, pp. 453–460. Academic Publishing, Greece (2010)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Stodola, P., Drozd, J., Nohel, J., Michenka, K. (2020). Model of Observation Posts Deployment in Tactical Decision Support System. In: Mazal, J., Fagiolini, A., Vasik, P. (eds) Modelling and Simulation for Autonomous Systems. MESAS 2019. Lecture Notes in Computer Science(), vol 11995. Springer, Cham. https://doi.org/10.1007/978-3-030-43890-6_18
Download citation
DOI: https://doi.org/10.1007/978-3-030-43890-6_18
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-43889-0
Online ISBN: 978-3-030-43890-6
eBook Packages: Computer ScienceComputer Science (R0)