Power Control and Clustering in Wireless Sensor Networks

  • Lahcène Dehni
  • Francine Krief
  • Younès Bennani
Part of the IFIP International Federation for Information Processing book series (IFIPAICT, volume 197)


The use of the wireless sensor networks (WSNs) should be increasing in different fields. However, the sensor’s size is an important limitation in term of energetic autonomy, and thus of lifetime because battery must be very small. This is the reason why, today, research mainly carries on the energy management in the WSNs, taking into account communications, essentially. In this context, we compare different clustering methods used in the WSNs, particularly EECS, with an adaptive routing algorithm that we named LEA2C. This algorithm is based on topological self-organizing maps. We obtain important gains in term of energy and thus of network lifetime.

Key words

Wireless sensor networks clustering power control adaptive routing algorithm topological self-organizing maps 

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Copyright information

© International Federation for Information Processing 2006

Authors and Affiliations

  • Lahcène Dehni
    • 1
  • Francine Krief
    • 2
  • Younès Bennani
    • 1
  1. 1.Laboratoire d’Informatique de l’Université Paris NordInstitut GaliléeVilletaneuseFrance
  2. 2.Laboratoire Bordelais de Recherche en InformatiqueDomaine UniversitaireTalence CedexFrance

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