An Edge Device Framework in SEMAR IoT Application Server Platform

Abstract

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

A Survey of AI Techniques in IoT Applications with Use Case Investigations in the Smart Environmental Monitoring and Analytics in Real-Time IoT Platform

“…It also allows users to add plug-in functions by providing data access through the REST API. Furthermore, it was integrated with the edge device framework [10] that allows users to seamlessly create, update, and delete the edge configuration file for edge devices through the user interface of SEMAR. Figure 1 shows the system overview of SEMAR.…”

“…In Ref. [10], we designed and built the edge device framework to optimize device utilizations by configuring it remotely through the SEMAR as the feature for device management. It allows users to create, update, and delete the edge configuration file by accessing the functions through the user interface.…”

“…The Batch AI feature enables users to apply AI models to process existing data in the data storage. Furthermore, we show how to implement AI on edge computing devices by integrating the Edge Device Framework [10] with SEMAR. The limitation of our proposed approach arises from the fact that the training of the AI model occurs in an environment external to the SEMAR platform.…”

“…Previously, we introduced the edge device framework as one feature of SEMAR [10]. This framework allows users to optimize the functionality of IoT devices by allowing them to be configured remotely from the server.…”