Resiliency in Distributed Sensor Networks for PHM of the Monitoring Targets

TL;DR

This paper introduces a distributed algorithm for wireless sensor networks that enhances fault tolerance and data recovery, ensuring reliable condition monitoring for predictive maintenance while conserving energy.

Contribution

It presents a novel fully distributed algorithm with theoretical correctness proofs for fault tolerance and data recovery in wireless sensor networks.

Findings

Ensures data recovery with low failure rate

Preserves energy in dense networks

Validated through simulation results

Abstract

In condition-based maintenance, real-time observations are crucial for on-line health assessment. When the monitoring system is a wireless sensor network, 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 wireless sensor networks. 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.