Wireless Communication Infrastructures

Dear Colleagues,

When it comes to infrastructure, critical structures require attention because they are susceptible to damage such as cracks or corrosion. Monitoring applications have proliferated since the condition assessment of infrastructure is required to be periodic. As such, real-time monitoring emerged, making structural integrity continuous. Toward that end, wireless devices are employed in particular infrastructural constructions in order to provide automation to the monitoring processes and minimize human intervention. The main reason behind this is the associated cost of human assessment, as well as the added benefit of continuous automated monitoring as opposed to periodic human condition testing.

Wireless technologies, ranging from Zigbee to 5G telecommunications, can be applied to infrastructure monitoring. This gives a plethora of wireless communication choices, which can be distinguished according to the application environment. In this Special Issue, we welcome research works that reside at the intersection of infrastructural applications with wireless communications, in order to enhance performance, minimize cost and provide energy efficiency, among other properties. Particular importance is given to the newly released standards in telecommunications as well as traditional wireless communication media that have been proven successful in structural monitoring. Moreover, edge computing is of the utmost importance, and machine learning is prevailing in recent wireless communications. In this Special Issue, we welcome contributions addressing topics including, but not limited to:

• Wireless structural health monitoring;
• Wireless communications in infrastructures;
• Telecommunications in structural integrity management;
• 4G, 5G in infrastructures;
• Zigbee, Wi-Fi, LoRa for infrastructural monitoring;
• Quality of Service in wireless monitoring of infrastructures;
• Energy efficiency in wireless infrastructure applications;
• Applications and user experiences of wireless communication infrastructure applications;
• Machine learning in infrastructure wireless communications;
• Edge computing in infrastructure wireless communications;
• Cross-layer techniques for wireless communications;
• Public and private networks in infrastructure monitoring.

Dr. Evangelos Spyrou
Guest Editor

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