<![CDATA[The rapid growth of the Internet of Things (IoT) has created increasing demands for reliable and efficient data delivery mechanisms in wireless multi-sensor systems, particularly in terms of latency, scalability, and synchronization. This work introduces an efficient data transmission architecture for a wireless multi-sensor monitoring system designed for IoT-based environmental applications. The suggested design incorporates ESP8266-based sensor nodes, RabbitMQ as a message broker, InfluxDB for the storage of time-series data, and a Flask-based web interface for the viewing of real-time data. A hybrid communication protocol integrating MQTT, AMQP, and Server-Sent Events (SSE) ensures rapid data transmission, accurate message queuing, and continuous online streaming availability. We developed and evaluated three network topologies: Star, Tree, and mesh. We employed them to assess latency, throughput, packet loss, and synchronization precision. The Tree topology is optimal, exhibiting a latency of 2 to 4 seconds, ensuring 100% data consistency, and maintaining reliable communication within an 80-meter radius. The RabbitMQ broker exhibits minimal latency (30–272 ms) and has no packet loss, even under high message volume. Wi-Fi mode 802.11 N exhibits superior signal range and stability compared to mode B. The findings indicate that the integration of gateway-based aggregation with a hybrid multi-protocol communication model enhances data reliability and scalability. This provides useful insights for data transfer and distributed data management in IoT monitoring systems based on informatics.]]>
