Self-Organized CPS

The actor positioning strategy [1-3] is proposed for aerial wireless sensor and actor networks considering a scenario of 3D observation by a group of UAVs. The positioning algorithm utilizes the Valence Shell Electron Pair Repulsion (VSEPR) theory of chemistry, which is based on the correlation between molecular geometry and the number of atoms in a molecule. The positioning strategy is improved for real-world scenarios by utilizing a rotatable hybrid antenna model (O-BESPAR), which combines the complimentary features of an isotropic omni radio and directional antennas [4]. O-BESPAR is utilized with actor-sink communication, actor rearrangement algorithms, and beamforming. The positioning strategy is also integrated with a virtual forces method to provide spatially adaptive autonomous clustering [5, 6].

[1] M. I. Akbas and D. Turgut. “APAWSAN: Actor Positioning for Aerial Wireless Sensor and Actor Networks” In the Proceedings of IEEE Conference on Local Computer Networks (LCN), pp. 567–574, October 2011.

[2] M. I. Akbas, G. Solmaz and D. Turgut. “Actor Positioning Based on Molecular Geometry in Aerial Sensor Networks” In the Proceedings of IEEE International Conference on Communications 2012 (ICC), pp. 508-512, June 2012.

[3] M. I. Akbas, G. Solmaz and D. Turgut, “Molecular Geometry Inspired Positioning for Aerial Networks,” Elsevier Computer Networks Journal, 98 (0), pp. 72-88, 2016.

[4] K. Li, M. I. Akbas, D. Turgut, S. S. Kanhere and S. Jha, “Reliable Positioning with Hybrid Antenna Model for Aerial Wireless Sensor and Actor Networks,” In the Proceedings of IEEE Wireless Communications and Networking Conference (WCNC), April, 2014.

[5] M. R. Brust, M. I. Akbas, and D. Turgut. “VBCA: A Virtual Forces Clustering Algorithm for Autonomous Aerial Drone Systems.” In IEEE Systems Conference (SysCon), Orlando, Florida, April, 2016.

[6] J. Rentrope and M. I. Akbas. “Spatially Adaptive Positioning for Molecular Geometry Inspired Aerial Networks”. In the Proceedings of the ACM International Symposium on Design and Analysis of Intelligent Vehicular Networks and Applications (DIVANet), pp. 1-8, November, 2017.

[7] L. Oseguada and M. I. Akbas. "Using Agent-Based Modeling and Simulation to Evaluate Collision Avoidance in UAS Swarms ." Accepted to the Interservice/Industry Training, Simulation and Education Conference (I/ITSEC), November, 2022.

[8] T. Neubauer and M. I. Akbas. "SOSUAS: Stability Optimized Swarming for Unmanned Aerial Systems." In the AIAA/IEEE Digital Avionics Systems Conference (DASC), September, 2022.