Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6874510 | Journal of Computational Science | 2017 | 12 Pages |
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.
Related Topics
Physical Sciences and Engineering
Computer Science
Computational Theory and Mathematics
Authors
Hyunbum Kim, Jalel Ben-Othman, Paolo Bellavista,