Co-adapting mobile sensor networks to maximize coverage in dynamic environments

  • Authors:
  • François-Michel De Rainville;Christian Gagné;Denis Laurendeau

  • Affiliations:
  • Université Laval, Québec, PQ, Canada;Université Laval, Québec, PQ, Canada;Université Laval, Québec, PQ, Canada

  • Venue:
  • Proceedings of the 14th annual conference companion on Genetic and evolutionary computation
  • Year:
  • 2012

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Abstract

With recent advances in mobile computing, swarm robotics has demonstrated its utility in countless situations like recognition, surveillance, and search and rescue. This paper presents a novel approach to optimize the position of a swarm of robots to accomplish sensing tasks based on cooperative co-evolution. Results show that the introduced cooperative method simultaneously finds the right number of sensors while also optimizing their positions in static and dynamic environments.