Distributed Sensing for High-Quality Structural Health Monitoring Using WSNs - 2015
Thanks to the low price and easy deployment, wireless sensor networks (WSNs) are emerging as sensing paradigms that the structural engineering field has begun to think about as substitutes for traditional tethered structural health monitoring (SHM) systems. Different from different applications of WSNs like environmental monitoring, SHM applications are much more information intensive and it is not feasible to stream the raw knowledge back to the server thanks to the severe bandwidth and energy limitations of low-power sensor networks. In-network processing is a promising approach to handle this drawback but coming up with distributed versions for the sophisticated SHM algorithms is much a lot of difficult as a result of SHM algorithms are computationally intensive, and involve information-level collaboration of multiple sensors. During this paper, we have a tendency to choose a classical SHM algorithm: the eigen-system realization algorithm (ERA), and propose some distributed ERAs suitable for WSNs. In specific, we initial design a technique to incrementally calculate the ERA and then propose three schemes upon that the incremental ERA will be disbursed along an Hamiltonian path, along a path in the minimum connected dominating set (MCDS) and along the shortest path tree (SPT). The efficacy of those schemes are demonstrated and compared through each simulation experiment. We have a tendency to believe the proposed schemes can additionally function a guideline when applying WSNs for different applications like SHM which also are data-intensive and involve refined signal processing of collected data.
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