Smart City + IoT Standardization Application Practice Model and Realization of Key Technologies

Area of Science:

• Computer Science
• Urban Planning
• Network Engineering

Background:

• Smart cities generate vast, heterogeneous data requiring unified access.
• Existing Internet of Things (IoT) frameworks need adaptation for urban sensing networks.
• Machine-to-Machine (M2M) communication demands efficient data acquisition, transmission, and computing.

Purpose of the Study:

• To propose a computing framework and middleware architecture for IoT-based urban sensing networks.
• To enable dynamic management of cognitive resources and support ubiquitous HTTP services.
• To demonstrate the application of IoT technologies in vehicle sensing and urban security.

Main Methods:

• Development of a software and hardware system for IoT gateways.
• Design of an urban perception network middleware architecture.
• Integration of intelligent sensing, wireless transmission, and data mining techniques.

Main Results:

• A functional IoT gateway system capable of data acquisition, transmission, and computing.
• Middleware architecture supporting M2M communication and dynamic resource management.
• Demonstrated applications in vehicle sensing, positioning, and urban security sensor networks.

Conclusions:

• The proposed IoT framework effectively addresses smart city data challenges.
• The middleware architecture enhances urban operation and management through intelligent services.
• IoT integration improves the scientific and intelligent level of urban management systems.