Abstract
A system to coordinate the movement of a group of unmanned aerial vehicles that provide a network backbone over mobile ground-based vehicles with communication needs is presented. Using evolutionary algorithms, the system evolves flying manoeuvres that position the aerial vehicles by fulfilling two key requirements; i) they maximise net coverage and ii) they minimise the power consumption. Experimental results show that the proposed coordination system is able to offer a desirable level of adaptability with respect to the objectives set, providing useful feedback for future research directions.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Agogino, A., HolmesParker, C., Tumer, K.: Evolving large scale uav communication system. In: Proceedings of the Fourteenth International Conference on Genetic and Evolutionary Computation Conference, GECCO 2012, pp. 1023–1030. ACM, New York (2012)
Bäck, T.: Evolutionary Algorithms in Theory and Practice: Evolution Strategies, Evolutionary Programming, Genetic Algorithms. Oxford University Press, Oxford (1996)
Carruthers, B., McGookin, E.W., Murray-Smith, D.J.: Adaptive evolutionary search algorithm with obstacle avoidance for multiple uavs. In: ZÃtek, P. (ed.) Proc. 16th IFAC World Congress (2005)
Charlesworth, P.B.: Simulating missions of a uav with a communications payload. In: 2013 UKSim 15th International Conference on Computer Modelling and Simulation (UKSim), pp. 650–655 (April 2013)
de la Cruz, J.M., Besada-Portas, E., Torre-Cubillo, L., Andres-Toro, B., Lopez-Orozco, J.A.: Evolutionary path planner for uavs in realistic environments. In: Proceedings of the 10th Annual Conference on Genetic and Evolutionary Computation, GECCO 2008, pp. 1477–1484. ACM (2008)
Dubins, L.E.: On plane curves with curvature. Pacific Journal of Mathematics 11(2), 471–481 (1961)
Farin, G.: Curves and Surfaces for CAGD: A Practical Guide, 5th edn. Morgan Kaufmann Publishers Inc., San Francisco (2002)
Gao, X.-G., Fu, X.-W., Chen, D.-Q.: A genetic-algorithm-based approach to uav path planning problem. In: Proceedings of the 5th WSEAS International Conference on Simulation, Modelling and Optimization, SMO 2005, pp. 523–527. World Scientific and Engineering Academy and Society (WSEAS), Stevens Point (2005)
Giagkos, A., Tuci, E., Wilson, M.S., Charlesworth, P.B.: Evolutionary coordination system for fixed-wing communications unmanned aerial vehicles: supplementary online materials (April 2014), http://www.aber.ac.uk/en/cs/research/ir/projects/nevocab
Goldberg, D.E.: Genetic Algorithms in Search, Optimization and Machine Learning. Addison-Wesley, Reading (1989)
Hasircioglu, I., Topcuoglu, H.R., Ermis, M.: 3d path planning for the navigation of unmanned aerial vehicles by using evolutionary algorithms. In: Proceedings of the 10th Annual Conference on Genetic and Evolutionary Computation, GECCO 2008, pp. 1499–1506. ACM, New York (2008)
Sahingoz, O.K.: Flyable path planning for a multi-uav system with genetic algorithms and bézier curves. In: 2013 International Conference on Unmanned Aircraft Systems (ICUAS), pp. 41–48 (2013)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Giagkos, A., Tuci, E., Wilson, M.S., Charlesworth, P.B. (2014). Evolutionary Coordination System for Fixed-Wing Communications Unmanned Aerial Vehicles. In: Mistry, M., Leonardis, A., Witkowski, M., Melhuish, C. (eds) Advances in Autonomous Robotics Systems. TAROS 2014. Lecture Notes in Computer Science(), vol 8717. Springer, Cham. https://doi.org/10.1007/978-3-319-10401-0_5
Download citation
DOI: https://doi.org/10.1007/978-3-319-10401-0_5
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-10400-3
Online ISBN: 978-3-319-10401-0
eBook Packages: Computer ScienceComputer Science (R0)