Performance evaluation of IoT-enabled edge computing infrastructure for mHealth services
In 39th international conference on advanced information networking and applications (AINA-2025)
Abstract
The rapid technological advancements and growing demand for innovative healthcare solutions highlight the critical role of integrating the Internet of Things (IoT) with mobile health (mHealth) services. This study evaluates the performance of an IoT platform within an mHealth context, focusing on the MQTT protocol’s effectiveness for healthcare data communication. Using an Orange Pi Win Plus board as the IoT platform, we simulated real-world mHealth conditions with varying workloads to assess platform resilience and scalability. Representative test scenarios were developed to simulate normal, increasing, and extreme load conditions, measuring key metrics such as CPU usage, memory consumption, throughput, and latency. Data were collected and analyzed using custom scripts to evaluate the platform’s response across different Quality of Service (QoS) levels. Results indicated that the platform could effectively manage standard and moderately high demands, while performance under extreme loads highlighted areas for optimization. This study concludes that the MQTT-based IoT platform demonstrated reliable performance in the mHealth environment, providing a basis for future optimizations and scalability improvements.