An ACO/MAS joint approach to manage communications in wireless sensor networks

  • Authors:
  • Nacer Hamani;Jean-Paul Jamont;Mouloud Koudil;Michel Occello

  • Affiliations:
  • Laboratoire LMCS/ESI, Oued Smar, Alger, Algeria;LCIS-Université de grenoble, Valence, France;Laboratoire LMCS/ESI, Oued Smar, Alger, Algeria;LCIS-Université de grenoble, Valence, France

  • Venue:
  • Proceedings of the International Conference on Management of Emergent Digital EcoSystems
  • Year:
  • 2009

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Abstract

The Multi-Wireless-Agent-Communication (MWAC) model uses a multiagent self-organization process through to manage communications in wireless sensor networks. This paper presents a first improvement of the MWAC model using an ant colony optimization. We introduce the use of ant colony optimization in the context of multiagent systems and wireless sensor networks. Ants are not simply deployed on the multiagent society. Each ant interacts with agents to obtain the best compromise on the routes choice to enable a reliable communication.