| Abstract |
The Internet of Things is evolving more quickly these days, which raises the possibility of creating smart cities, where different IoT applications must be coordinated and connected. However, the criteria of device, rationale, and data transmission are often disregarded since IoT application platforms are frequently created and implemented in isolation. In other words, we demonstrated the architecture of the Internet of Things server platform named Smart Monitoring of Environment and Analytical in Real-Time here in order to connect the IoT applications utilizing standards. Big Data ecosystems with AI, coordination, and data aggregation functions are made accessible by SEMAR and need just basic plug-in functionalities. It is permissible to combine data that provides access from various sensor devices using both wireless and direct network data. Text files, user interfaces, and Representing State Transfer API services will all be utilized to retrieve this data in real-time for usage in other systems. The ventilation observation system, the ecological observation system, the indoor fingerprint-based location system, the water superior tracking system, and the cooling directing system were the five IoT technologies that we constructed and integrated in order to evaluate the SEMAR. In terms of flexibility and compatibility, the suggested SEMAR IoT application server platform is more effective and efficient than previous IOT platform research. It may be readily integrated with third-party apps or Internet of Things applications without requiring code modifications. It contains capabilities for device administration, data transfer, selection, synchronization, and filtering. The results support the proposal's efficacy and efficiency. Massive and rapidly expanding Internet of Things (IoT) devices need scalable and reliable platforms for data processing, management, and analysis. © 2024 IEEE. |
