<p>Structural Health Monitoring (SHM) is an emerging field in the area of damage identification of civil engineering structures. Implementation of SHM system on a real life civil infrastructure is a complex task, as it must address various execution challenges such as accessibility to various components of the structure, management of the large data base, faster feedback about the structure, and damage detection under real-life loading condition. However, availability of high-speed internet facility and wireless sensors gives an alternate choice for civil engineers to adopt Internet of Things (IoT)-based monitoring for large engineering structures especially when establishing wire-based data acquisition is expensive and practically difficult in large structures which tend to have inaccessible areas. Implementation of real-time monitoring can help to mitigate catastrophic failure by sending appropriate alert signal on right time. The real-time data can be used to detect information about the comprehensive health of the structure based on signal processing-based techniques. In this study, for implementation of IoT-based strain monitoring system, foil type strain gauges and a real time controller were employed. The paper explains in detail the IoT-based strain monitoring program developed in LabVIEW for data acquisition and communication with ThingSpeak. The damage identification methodology adopted for the study was based on analysis of Power Spectral Density plot of the strain obtained from healthy and damaged specimen.</p>