Adaptive failure detection in low power lossy wireless sensor networks

Abstract

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

A novel fault detection and recovery technique for cluster‐based underwater wireless sensor networks

“…But the process of establishing round trip paths is still challenging when the network size grows. Benhamida et al have proposed a new general failure detector model that reduces packet loss by saving energy. It detects the physical layer failures occurring due to bad channel conditions although it increases bandwidth and memory storage.…”