Energy Optimization in Redundant WSNs under Deterministic and Probabilistic Sensing Models

Ibrahima Diané (1) , Rahim Kacimi (1) , Zoubir Mammeri (1) , Ibrahima Niang (2, 3)

1 IRIT-T2RS - Temps Réel dans les Réseaux et Systèmes
2 SAF - Laboratoire de Sciences Actuarielle et Financière
3 UCAD - Université Cheikh Anta Diop de Dakar [Sénégal]

Almost all WSNs are deployed with some redundancy degree which is used only for robustness objectives. If not handled in an intelligent way, redundancy results in energy wasting because of redundant transmission and reception operations. In view of this energy wasting, a redundancy detection method under sensing models is proposed. We propose to take benefit from measurement redundancy to optimize the energy consumption and improve the end-to-end delay. We propose OER (Optimization of Energy based on Redundancy) protocol, to improve energy consumption in WSNs.

Mots clés: Sensors; Wireless sensor networks; Protocols; Probabilistic logic; Energy consumption; Delays; Probabilistic Sensing; Redundancy; Energy; WSN

Domaines: Informatique [cs]

Ibrahima Diané, Rahim Kacimi, Zoubir Mammeri, Ibrahima Niang. Energy Optimization in Redundant WSNs under Deterministic and Probabilistic Sensing Models. IEEE 80th Vehicular Technology Conference (VTC 2014 - Fall), IEEE Vehicular Technology Society, Sep 2014, Vancouver, Canada. pp.1--5, ⟨10.1109/VTCFall.2014.6965959⟩. ⟨hal-03252285⟩