Energy-efficient Power Allocation Algorithms for Mobile Wireless Sensor Networks

Fatiha Djemili Tolba (1) , Damien Magoni (2) , Pascal Lorenz (1) , Wessam Ajib (3)

1 MIPS - Modélisation, Intelligence, Processus et Système
2 LaBRI - Laboratoire Bordelais de Recherche en Informatique
3 Département d'informatique [Montréal]

This paper proposes new distributed algorithms of adaptive transmit power allocation in wireless sensor networks for improving the eciency of energy management. The proposed algorithms are based on two fundamental criteria namely: the distance between the sensor and the base station, and the distance between the sensor and its two-hop neighbors. Hence, each sensor can manage its own transmission power according to these two criteria in order to reduce its energy consumption. The proposed algorithms help both extending the network lifetime and reducing the work load of sensors that are located close to the base station. The used sensors are subject to premature battery exhaustion since they relay the trac of other sensors toward the base station. We also consider the coverage constraint requiring that all regions (or at least some regions) must be always covered. This coverage constraint justies the choice of two-hop neighbors criterion. Extensive simulation results show the gain obtained by the proposed algorithms in terms of network lifetime, energy consumption and packet delivery success rate.

Domaines: Réseaux et télécommunications [cs.NI]

Fatiha Djemili Tolba, Damien Magoni, Pascal Lorenz, Wessam Ajib. Energy-efficient Power Allocation Algorithms for Mobile Wireless Sensor Networks. International Journal of Sensor Networks, 2014, 11 pp. ⟨10.1504/IJSNET.2014.067081⟩. ⟨hal-01009439⟩