Multimedia data fusion method based on wireless sensor network in intelligent transportation system

In order to realize the ubiquitous perception of urban traffic system integration, a universal technology architecture supporting multiple heterogeneous access, universalization and tailoring is needed to realize the interconnection and interoperability of perception systems in different application scenarios. Based on the analysis of typical application scenarios in traffic field and the performance characteristics of wireless and wired sensor networks, a method of bandwidth allocation for network resources in urban traffic application environment is proposed in this paper, especially in the scenario of high-speed train movement, in order to improve the transmission efficiency of wireless sensor networks. An information matching method for sensor networks is proposed. The correlation among multi-sensors is used to fuse the monitoring information in the coverage area of the sensing system, which is helpful to improve the resolution and accuracy of the system. The theory is applied to vehicle type recognition in traffic flow detection. The simulation results show that the proposed data fusion scheme has obvious advantages over the similar LEACH protocol in terms of energy consumption and fusion accuracy of common nodes.