Semantic data extraction over MQTT for IoTcentric wireless sensor networks

The emergence of the paradigm of Internet of Things (IoT) has necessitated the development of machine-to-machine (M2M) protocols geared towards wireless sensor network interfacing to the Internet and implementing machine learning algorithms over the cloud. This paper discusses the viability of the MQ Telemetry Transport (MQTT) protocol for such applications. This paper introduces MQTT along with its merits and demerits and suitability towards IoT applications. Then it outlines an implementation of a typical IoT application involving ubiquitous sensing, M2M communication, cloud computing and semantic data extraction. The results of this experiment are then analyzed. Finally, the paper looks at future improvements in the proposed architecture for widespread use.