Research Article
Smart City IoT On-Demand Monitoring System Using a Drone Fleet
@INPROCEEDINGS{10.1007/978-3-031-15101-9_8, author={Gordana Jotanovic and Vladimir Brtka and Jelena Stojanov and Zeljko Stojanov and Goran Jausevac and Dalibor Dobrilovic}, title={Smart City IoT On-Demand Monitoring System Using a Drone Fleet}, proceedings={Future Access Enablers for Ubiquitous and Intelligent Infrastructures. 6th EAI International Conference, FABULOUS 2022, Virtual Event, May 4, 2022, Proceedings}, proceedings_a={FABULOUS}, year={2022}, month={9}, keywords={Smart city IoT On-demand monitoring Drone fleets Vehicle detection sensors N-neighborhood Cloud-based drone service}, doi={10.1007/978-3-031-15101-9_8} }- Gordana Jotanovic
Vladimir Brtka
Jelena Stojanov
Zeljko Stojanov
Goran Jausevac
Dalibor Dobrilovic
Year: 2022
Smart City IoT On-Demand Monitoring System Using a Drone Fleet
FABULOUS
Springer
DOI: 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.
