Abstract
This paper deals with the management of the Drone Fleet in the areas of Smart Cities that are not infrastructurally covered by continuous monitoring systems. The proposed IoT architecture of the system is based on the cloud and implies the existence of Vehicle Detection Sensors. The role of the drone navigation service is especially elaborated. The Smart City area is divided into sectors, and the value of the potential load of the sector (PSL) is proposed as a measure of the traffic load of the sector. The use of the n-neighborhood concept enables the selection of critical sectors and the implementation of an algorithm that controls the movement of drones. The performed simulation of drone movement, by varying the number of drones and the number of sectors, indicates a change in the length of the distance traveled and the time required to visit all critical sectors. Procedures based on the n-neighborhood concept tend to be general and insensitive to the dynamic nature of traffic, as the set of critical sectors changes.
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Ministry of Education, Science and Technological Development, Republic of Serbia financially supported this research, under the project number TR32044: “The development of software tools for business process analysis and improvement”, 2011–2021.
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Jotanovic, G., Brtka, V., Stojanov, J., Stojanov, Z., Jausevac, G., Dobrilovic, D. (2022). Smart City IoT On-Demand Monitoring System Using a Drone Fleet. In: Perakovic, D., Knapcikova, L. (eds) Future Access Enablers for Ubiquitous and Intelligent Infrastructures. FABULOUS 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 445. Springer, Cham. https://doi.org/10.1007/978-3-031-15101-9_8
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