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Article Dans Une Revue The Computer Journal Année : 2016

Resiliency in Distributed Sensor Networks for Prognostics and Health Management of the Monitoring Targets

Résumé

In condition-based maintenance, real-time observations are crucial for on-line health assessment. When the monitoring system is a wireless sensor network (WSN), data loss becomes highly probable and this affects the quality of the remaining useful life prediction. In this paper, we present a fully distributed algorithm that ensures fault tolerance and recovers data loss in WSNs. We first theoretically analyze the algorithm and give correctness proofs, then provide simulation results and show that the algorithm is (i) able to ensure data recovery with a low failure rate and (ii) preserves the overall energy for dense networks.
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Dates et versions

hal-02131167 , version 1 (16-05-2019)

Identifiants

Citer

Jacques Bahi, Wiem Elghazel, Christophe Guyeux, Mohammed Haddad, Mourad Hakem, et al.. Resiliency in Distributed Sensor Networks for Prognostics and Health Management of the Monitoring Targets. The Computer Journal, 2016, 59 (2), pp.275 - 284. ⟨10.1093/comjnl/bxv126⟩. ⟨hal-02131167⟩
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