Unmanned Aerial Vehicle (UAV) networks have gained a lot of interest because of their effectiveness and great potential. One of major challenges in UAV networks is a collision avoidance and should be addressed carefully. Also, a barrier-coverage has been studied widely since it can be utilized in promising applications for border surveillance and intrusion detection. In this study, we introduce a framework for constructing a collision-free UAV reinforced barrier, which provides a guaranteed detection for various penetration types by intruders. Formally, we define a problem whose goal is to minimize total movement distance of UAVs such that a collision-free reinforced barrier is constructed from initial locations of UAVs. To solve the problem, we create potential positions which can support flexible movements of UAVs. Then, a zone-based novel approach is proposed. Furthermore, we evaluate the performance of the proposed scheme through extensive simulations.

Kim, H., Ben-Othman, J., Bellavista, P. (2017). Collision-free reinforced barriers in UAV networks. JOURNAL OF COMPUTATIONAL SCIENCE, 22, 289-300 [10.1016/j.jocs.2017.05.025].

Collision-free reinforced barriers in UAV networks

Bellavista, Paolo
2017

Abstract

Unmanned Aerial Vehicle (UAV) networks have gained a lot of interest because of their effectiveness and great potential. One of major challenges in UAV networks is a collision avoidance and should be addressed carefully. Also, a barrier-coverage has been studied widely since it can be utilized in promising applications for border surveillance and intrusion detection. In this study, we introduce a framework for constructing a collision-free UAV reinforced barrier, which provides a guaranteed detection for various penetration types by intruders. Formally, we define a problem whose goal is to minimize total movement distance of UAVs such that a collision-free reinforced barrier is constructed from initial locations of UAVs. To solve the problem, we create potential positions which can support flexible movements of UAVs. Then, a zone-based novel approach is proposed. Furthermore, we evaluate the performance of the proposed scheme through extensive simulations.
2017
Kim, H., Ben-Othman, J., Bellavista, P. (2017). Collision-free reinforced barriers in UAV networks. JOURNAL OF COMPUTATIONAL SCIENCE, 22, 289-300 [10.1016/j.jocs.2017.05.025].
Kim, Hyunbum; Ben-Othman, Jalel; Bellavista, Paolo
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/616832
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