A Data Serialization-based Framework for Efficient IoT Management

The Internet of Things (IoT) management relies on the efficient and timely transfer of data from sensors to applications. Processing required data transformations at the edge gateway introduces spatial complexity issues, particularly concerning resource constraints and latency requirements. By adopting a zero-copy binary format, Flatbuffers, we reduce the spatial complexity of processing at IoT edge gateway. However, at the service applications, interoperability challenges may arise when dealing with binary data formats compared to text-based formats. To accommodate the constraints of IoT edge gateways and service applications, we introduce a framework that aims to improve the data exchange rate between the IoT layer and the management layer while maintaining interoperability. Our comparative analysis across three scenarios, involving single and multiple sensors, shows that the proposed FlatBuffers-based framework outperforms the conventional JSON and Protocol Buffers formats in terms of frequency. These findings highlight the significant potential of FlatBuffers in boosting the real-time interaction capabilities of IoT systems.