Affiliation:
1. Department of Biomedical Engineering and Sciences, Tecnun, University of Navarra, San Sebastián, Spain
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.
Funder
Ministerio de Economía y Competitividad
Eusko Jaurlaritza
Subject
Computer Networks and Communications,General Engineering
Cited by
2 articles.
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