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Title	Smart City Iot On-Demand Monitoring System Using A Drone Fleet
ID_Doc	50324
Authors	Jotanovic G.; Brtka V.; Stojanov J.; Stojanov Z.; Jausevac G.; Dobrilovic D.
Year	2022
Published	Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, 445 LNICST
DOI	http://dx.doi.org/10.1007/978-3-031-15101-9_8
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. © 2022, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.
Author Keywords	Cloud-based drone service; Drone fleets; IoT; N-neighborhood; On-demand monitoring; Smart city; Vehicle detection sensors

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