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Nowadays, the <i>Internet of Things (IoT)</i> has become widely used at various places and for various applications. To facilitate this trend, we have developed the IoT application server platform called <i>SEMAR (Smart Environmental Monitoring and Analytical in Real-Time)</i>, which offers standard features for collecting, displaying, and analyzing sensor data. An <i>edge device</i> is usually installed to connect sensors with the server, where the interface configuration, the data processing, the communication protocol, and the transmission interval need to be defined by the user. In this paper, we proposed an <i>edge device framework</i> for <i>SEMAR</i> to remotely optimize the edge device utilization with three phases. In the <i>initialization phase</i>, it automatically downloads the configuration file to the device through <i>HTTP</i> communications. In the <i>service phase</i>, it converts data from various sensors into the standard data format and sends it to the server periodically. In the <i>update phase</i>, it remotely updates the configuration through <i>MQTT</i> communications. For evaluations, we applied the proposal to the <i>fingerprint-based indoor localization system (FILS15.4)</i> and the <i>data logging system</i>. The results confirm the effectiveness in utilizing <i>SEMAR</i> to develop IoT application systems.