Development of a Fully Interoperable Middleware Framework Based on IoT Techniques

Nowadays, most countries have been emphasizing the essential roles of the agriculture industry and related technologies affecting agricultural production. The agricultural area becomes modernized with the involvement of Internet of things (IoT) technologies for crops' growth monitoring, irrigation decision and harvesting system. However, due to the complexity of IoT middleware, most of the middleware frameworks are designed to be used by IT analysts. To allow non-IT analysts (e.g. farmers, plant scientist) to configure the sensor devices easier and faster, without knowing the background knowledge of technical details, sensor-level configuration of heterogeneous devices needs to be fully interoperable (network, syntactic, and semantic interoperability) due to the huge number of sensor devices integrated (e.g., Zigbee, Wi-Fi, Bluetooth) and their diversity in term of data formats, communication protocols, nature of components etc. In this paper, we propose a fully interoperable middleware framework that incorporates semantic web technologies with the existing Global Sensor Network (GSN) middleware to solve the above challenges. The proposed system supports horizontally semantic interoperability which addresses the challenge of adaptability of our approach to different domains. Performance of the proposed system will be implemented and evaluated mainly in crops' growth of agriculture area of Myanmar and, in addition, environmental pollution of meteorological area to confirm its adaptability with different domains.