Skander Azzaz

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Fault-tolerance is one of the main issues in Wireless Sensor Networks (WSNs) where applications require a continuous service. In this paper, we show how to use a small number of mobile robots to handle failures that may occur in the WSN. We study two strategies: Centralized Manager Strategy (CMS) and CMS with anticipation noted by CMS* to detect, report(More)
—In this paper, we focus on applications with quantitative QoS (Quality of Service) requirements in their end-to-end response time. Two types of quantitative QoS garantees can be delivered by a network: deterministic and probabilistic. The deterministic approach is based on a worst case analysis. The probabilistic approach uses a mathematical model to(More)
In this paper, we focus on applications with quantitative QoS (Quality of Service) requirements in their end-to-end response time (or jitter). We propose a solution allowing the coexistence of two types of quantitative QoS guarantees, deterministic and probabilistic, while providing high resource utilization. Our solution combines the advantages of both the(More)
In this paper, we have proposed two distributed preventive maintenance strategies dedicated for large-scale wireless sensor networks (WSNs) using a reduced number of mobile robots : (i) Fixed Distributed Preventive Maintenance Strategy denoted by F-DPMS, (ii) Adaptive Distributed Preventive Maintenance Strategy denoted by A-DPMS. F-DPMS and A-DPMS are(More)
Generally, the Quality of Service (QoS) in a wireless sensor network (WSN) is measured by the sensing area coverage degree and the connectivity between the deployed sensors. To conserve and protect these QoS parameters, we have used a limited number of mobile maintainer robots to handle the eventual network failed sensors. In this paper, we have introduced(More)
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