Abstract
Sensor-based structural health monitoring systems are commonly used to provide real-time information and detect damage in complex structures. In particular, wireless structural health monitoring systems are of low cost but, since wireless sensors are powered with batteries, a low power consumption is critical. A common approach for wireless structural health monitoring is to use a distributed computation strategy, which is usually based on consensus algorithms. Power consumption in such wireless consensus networks depends on the number of connections of the network. If sensors are randomly connected, there is no control on the power consumption. In this article, we present a novel strategy to connect a large number of wireless sensors for distributed consensus with low power consumption by combining small networks with basic topologies using the Kronecker product.
Highlights
Monitoring complex structures such as aerospace, civil and mechanical infrastructures to provide real-time information and detect damage is referred in the literature as structural health monitoring (SHM)
We present a strategy to connect a large number of wireless sensors for distributed consensus with low power consumption
In section ‘Problem formulation’, we introduce the problem of designing large wireless consensus networks with low power consumption under a convergence time restriction using the Kronecker product
Summary
Monitoring complex structures such as aerospace, civil and mechanical infrastructures to provide real-time information and detect damage is referred in the literature as structural health monitoring (SHM). Visual inspection and time-based maintenance procedures are replaced by damage assessment processes using new technological developments such as sensor-based SHM systems. Since large-scale sensor networks are used for SHM, traditional wire-based SHM systems require significant time and cost for cable installation and maintenance. Wireless SHM systems are an alternative solution for low-cost structural monitoring (see previous works).[1,2] when monitoring aerospace infrastructures such as plane wings, data cables significantly increase aircraft weight and its fuel consumption. The use of wireless sensor networks (WSN) is a key factor for the fuelefficiency of aircrafts. For more details on the current research progress see Noel et al.[3] and references therein
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