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Power Control and Clustering in Wireless Sensor Networks

Authors
  • Dehni, Lahcène
  • Krief, Francine
  • Bennani, Younès
Publication Date
Jan 01, 2005
Source
HAL-Paris 13
Keywords
Language
English
License
Unknown
External links

Abstract

The use of the wireless sensor networks (WSNs) should be increasing in different fields (scientist, logistic, military and health, etc.). 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.

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