Maximizing network lifetime through optimal power consumption in wireless sensor networks

  • Authors:
  • El Abdellaoui Saîd;Fakhri Youssef;Debbah Merouane;Aboutajdine Driss

  • Affiliations:
  • LRIT, Unité Associée au CNRST (URAC 29), Faculty of Sciences, University Mohammed V- Agdal, Rabat, Morocco;LRIT, Unité Associée au CNRST (URAC 29), Faculty of Sciences, University Mohammed V- Agdal, Rabat, Morocco, LARIT, équipe Réseaux et Télécommunication, Faculty of Sci ...;Alcatel-Lucent Chair on Flexible Radio, Supelec, Gif-sur-Yvette Cedex, France;LRIT, Unité Associée au CNRST (URAC 29), Faculty of Sciences, University Mohammed V- Agdal, Rabat, Morocco

  • Venue:
  • ICISP'12 Proceedings of the 5th international conference on Image and Signal Processing
  • Year:
  • 2012

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Abstract

Energy efficiency is a foremost concern in Wireless Sensor Networks (WSNs). It aims to maximize the network lifetime which is defined as the time duration until the battery depletion‎ of the first node. The aim of our approach is to provide the optimal transmission power taking into account the signal to noise ratio (SNR) constraint at the Fusion Center (FC) while guaranteeing the required performance. In this article, we address the lifetime maximization problem under non-orthogonal channels assuming two cases. In the first case, the nodes have the perfect knowledge of all channel gains. While in the second case, we propose several extensions to the unacknowledged channel gains by the nodes. In both cases, we consider that the nodes transmit their data to the FC over Quasi-Static Rayleigh fading Channel (QSRC). Simulation results show that the proposed optimal power allocation method maximizes the network lifetime better then the EP method.