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UAV Fleet Mobility Model with Multiple Pheromones for Tracking Moving Observation Targets

  • Christophe Atten
  • Loubna Channouf
  • Grégoire Danoy
  • Pascal Bouvry
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9597)

Abstract

The last years, UAVs have been developed to address a variety of applications ranging from searching and tracking to the surveillance of an area. However, using a single UAV limits the range of possible applications. Therefore, fleets of UAVs are nowadays considered to work together on a common goal which requires novel distributed mobility management models. This work proposes a novel nature-inspired mobility model for UAV fleets based on Ant Colony Optimisation approaches (ACO). It relies on two types of pheromones, a repulsive pheromone to cover the designated area in an efficient way, and an attractive pheromone to detect and to track the maximum number of targets. Furthermore, all decision takings are taken online by each UAV and are fully distributed. Experimental results demonstrate promising target tracking performances together with a small increase in the exhaustivity of the coverage.

Keywords

UAV Mobility model Pheromone Target tracking Ant Colony Optimisation 

References

  1. 1.
    Casbeer, D.W., Kingston, D.B., Beard, R.W., McLain, T.W.: Cooperative forest fire surveillance using a team of small unmanned air vehicles. Int. J. Syst. Sci. 37, 351–360 (2006)CrossRefzbMATHGoogle Scholar
  2. 2.
    Brust, M.R., Strimbu, B.M.: A networked swarm model for UAV deployment in the assessment of forest environments. In: Tenth IEEE International Conference on Intelligent Sensors, Sensor Networks and Information Processing, ISSNIP 2015, Singapore, 7–9 April 2015, pp. 1–6. IEEE (2015)Google Scholar
  3. 3.
    Bupe, P., Haddad, R., Rios-Gutierrez, F.: Relief and emergency communication network based on an autonomous decentralized UAV clustering network. In: SoutheastCon 2015, pp. 1–8 (2015)Google Scholar
  4. 4.
    Schleich, J., Panchapakesan, A., Danoy, G., Bouvry, P.: UAV fleet area coverage with network connectivity constraint. In: Proceedings of the 11th ACM International Symposium on Mobility Management and Wireless Access. MobiWac 2013, pp. 131–138. ACM, New York (2013)Google Scholar
  5. 5.
    Valavanis, K.P., Vachtsevanos, G.J.: Handbook of Unmanned Aerial Vehicles. Springer, Netherlands (2015)CrossRefzbMATHGoogle Scholar
  6. 6.
    Althoff, D., Althoff, M., Scherer, S.: Online safety verification of trajectories for unmanned flight with offline computed robust invariant sets. In: IEEE/RSJ International Conference on Intelligent Robots and Systems (2015)Google Scholar
  7. 7.
    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, New York (2008)Google Scholar
  8. 8.
    Simon, D.: Evolutionary Optimization Algorithms. Wiley, New York (2013)Google Scholar
  9. 9.
    Kuiper, E., Nadjm-Tehrani, S.: Mobility models for UAV group reconnaissance applications. In: International Conference on Wireless and Mobile Communications, ICWMC 2006, p. 33 (2006)Google Scholar
  10. 10.
    Salama, K.M., Abdelbar, A.M., Otero, F.E.B., Freitas, A.A.: Utilizing multiple pheromones in an ant-based algorithm for continuous-attribute classification rule discovery. Appl. Soft Comput. 13, 667–675 (2013)CrossRefGoogle Scholar
  11. 11.
    Wilcoxon, F.: Individual comparisons by ranking methods. Biometrics Bull. 1, 80–83 (1945)CrossRefGoogle Scholar
  12. 12.
    Danoy, G., Brust, M.R., Bouvry, P.: Connectivity stability in autonomous multi-level UAV swarms for wide area monitoring. In: Proceedings of the 5th ACM Symposium on Development and Analysis of Intelligent Vehicular Networks and Applications, DIVANet 2015, pp. 1–8. ACM, New York (2015)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Christophe Atten
    • 1
  • Loubna Channouf
    • 2
  • Grégoire Danoy
    • 2
  • Pascal Bouvry
    • 2
  1. 1.SnT Interdisciplinary CentreUniversity of LuxembourgLuxembourg CityLuxembourg
  2. 2.CSC Research UnitUniversity of LuxembourgLuxembourg CityLuxembourg

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