Focusing on the multimodal collaborative perception of the Internet of Things, we have proposed a theoretical method system for wireless perception of the Internet of Things based on multimodal perception, constructed an efficient collaborative method and network computing decision model, and proposed a collaborative security theoretical method, which comprehensively improved the perception, collaboration and security capabilities of the Internet of Things system. (1) Multimodal perception: Combining the isomodal signals of WiFi and RFID, we have expanded the application boundaries of wireless perception and realized the efficient human-object perception of the Internet of Things based on wireless. (2) Efficient collaboration: In terms of the collaborative capability of the Internet of Things system, we have proposed for the first time a collaborative construction theory of multi-layer indoor maps and positioning databases based on crowd intelligence perception, introduced the concept of passive indoor landmarks, realized the collaborative construction and self-calibration of indoor maps and positioning systems of multi-agent systems, and improved the decision-making and communication efficiency of collaborative computing. (3) Collaborative security: In terms of the security issues of the Internet of Things system, we have established a theoretical connection between data availability and data privacy in crowd intelligence perception, and realized efficient data privacy protection in crowd intelligence perception collaborative learning. We have constructed a software-defined network design for distributed denial of service attacks based on cloud computing, improved network scheduling efficiency, and realized lightweight data protection for the Internet of Things system. In the past five years, the project research results have been published in more than 100 papers in important international journals such as IEEE TMC, IEEE/ACM ToN, IEEE TII, IEEE TVT, IEEE COMST, IEEE IoTJ, etc. The research results have won the first prize of the Excellent Paper of Guangdong Computer Association. The multi-mode perception, efficient collaboration and security assurance mechanism of the Internet of Things system proposed by the project have verified the effectiveness of the theory and method in practical applications and achieved significant economic value.

This achievement has wonthe first prize of the Natural Science Award of the Guangdong Artificial Intelligence Industry Association Science and Technology Award in 2023, and the accomplishers are Luo Chengwen, Li Jianqiang, and Zhang Jin.