Multimedia data fusion method based on wireless sensor network in intelligent transportation system
Multimedia data fusion method based on wireless sensor network in intelligent transportation system
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DOI：
10.1007/s11042-019-7614-4
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发表时间：
2020-12-01
影响因子：
3.6
通讯作者：
Chen, Gang
中科院分区：
文献类型：
--
作者：
Kong, Fanyu;Zhou, Yufeng;Chen, Gang
为了实现城市交通系统集成的泛在感知，需要一种支持多种异构接入、通用化和可裁剪的通用技术架构，实现不同应用场景下感知系统的互联互通。在分析交通领域典型应用场景的基础上，结合无线和有线传感器网络的性能特点，提出了一种城市交通应用环境下，特别是高速列车运行场景下的网络资源带宽分配方法，以提高无线传感器网络的传输效率。提出了一种传感器网络的信息匹配方法。利用多传感器之间的相关性对传感系统覆盖区域内的监测信息进行融合，有助于提高系统的分辨率和精度。将该理论应用于交通流检测中的车型识别。仿真结果表明，与同类LEACH协议相比，该数据融合方案在能量消耗和普通节点融合精度方面具有明显优势。
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.