The Development of an Open Sensor-Web-Internet-Of-Things Infrastructure for the Smart Homeland

The Sensor Web and Internet of Things (SW-IoT) has been attracting many attentions from various fields in recent years. The vision of SW-IoT is to connect widely distributed sensors and actuators via wireless communication techniques. Users can then mash-up devices to achieve efficient and automatic applications, such as Smart City, Industry 4.0, Precise Agriculture, Home Automation, e-Health. While many countries target the SW-IoT a future focus, proprietary solutions have caused many issues. Proprietary SW-IoT systems are locked in many closed ecosystems and cannot interchange information with each other. Multiple SW-IoT infrastructures cause unnecessary cost and make large-scale deployment a time-intensive and labor-intensive process. Users need to develop multiple connecters to access resources in different closed ecosystems. With a growing number of ecosystems, the inter-connection between SW-IoT systems becomes a critical issue.To address this issue, this research aims at designing and implementing an open and interoperable SW-IoT infrastructure. This research focuses on the SW-IoT resource sharing, management, and application. The scope of this research covers the end-to-end SW-IoT architecture, where the key idea of this research is inspired by the success of the Internet and cellular network. Both the Internet and cellular network require only one infrastructure for devices to establish connections. We envision that the SW-IoT also needs a single open infrastructure.Overall, this research has five main working packages, including (WP1) research of the SW-IoT plug-and-play technology, (WP2) study of the device location positioning methodology, (WP3) development and integration of open SW-IoT standards, (WP4) investigation of the big SW-IoT data management architecture, and (WP5) construction of the SW-IoT infrastructure and sample applications. The expected contributions of this research are that: (1) SW-IoT devices can automatically transmit resources to gateways and web services via different local wireless communication networks. (2) The constructed infrastructure and wireless networks can automatically position devices to lower down the complexity and cost of device deployment. (3) SW-IoT standards are integrated to model and release resources in an interoperable manner. (4) As SW-IoT resources are large in volume and velocity, the proposed big data management architecture will be able to manage large number of SW-IoT resources and support real-time processing for time-critical applications. (5) To the best of our understanding, this research will construct the world’s first large-scale open SW-IoT infrastructure with multiple sample applications proving its feasibility.In addition, our research group has been participating in the Open Geospatial Consortium (OGC) for many years. While we have edited a SW-IoT web service standard, we are planning to submit the proposed solutions to the OGC community and seek opportunities to promote them as international open standards. Overall, the proposed SW-IoT open infrastructure can be utilized by industrial, government, and research organizations in Taiwan to automatically transmit and integrate SW-IoT resources to support various applications. Through this research, we can help Taiwan establish the worldwide leading position in open SW-IoT technology and applications.