Molecular geometry inspired positioning for aerial networks

— The advances in unmanned aerial vehicle (UAV) and wireless sensor technology made it possible to deploy aerial networks and to collect information in three dimensional (3D) space. These aerial networks enable high quality observation of events as multiple UAVs coordinate and communicate for data collection. The positioning of UAVs in aerial networks is critical for effective coverage of the environment and data collection. UAV systems have their characteristic constraints for node positioning such as dynamic topology changes or heterogeneous network structure. The positioning methods for two dimensional (2D) scenarios cannot be used for aerial networks since these approaches become NP-hard in 3D space. In this paper, we propose a node positioning strategy for UAV networks. We propose a wireless sensor and actor network structure according to different capabilities of the nodes in the network. The positioning algorithm utilizes the Valence Shell Electron Pair Repulsion (VSEPR) theor...

• Type: Journal
• Year: 2016
• Where: CN
• Authors: Mustafa Ilhan Akbas, Gürkan Solmaz, Damla Turgut
• Keywords: CN 2016