Adaptive failure detection in low power lossy wireless sensor networks

Fatima Zohra Benhamida (1) , Yacine Challal (1) , Mouloud Koudil (1)

1 LMCS - Laboratoire de Méthodes de Conception de Systèmes

In this paper, we investigate the use of failure detectors (FD) in Wireless Sensor Networks (WSN). We provide a classification of FD with respect to some WSN criteria. The focus will be on energy depletion and lossy links. We propose then a new general FD model tailored to WSN constraints, called Adaptive Neighborhood Failure Detector for Low-power lossy WSN (AFDEL). AFDEL provides adaptive local failure detection robust against packet loss (intermittent failures) and saves the use of energy, bandwidth and memory storage. Furthermore, we introduce in AFDEL model an adaptive timer strategy. This strategy offers the possibility to customize the dynamic timer pattern with respect to application requirements in terms of completeness and accuracy. We illustrate the use of this strategy by proposing three failure detection techniques based on AFDEL general model. As a pat of this work, we give a stochastic based approach for timer adaptation. We evaluate

Mots clés: Failure detector model; Adaptive timer-based techniques; Lossy links; Low-power WSN

Domaines: Réseaux et télécommunications [cs.NI]

Fatima Zohra Benhamida, Yacine Challal, Mouloud Koudil. Adaptive failure detection in low power lossy wireless sensor networks. Journal of Network and Computer Applications (JNCA), 2014, ⟨10.1016/j.jnca.2014.07.028⟩. ⟨hal-01308733⟩