基于无线传感网络的数据融合方法及其在智能交通系统中的应用研究  

Data aggregation scheme based on wireless sensor networks and its application research in intelligent transportation system

作　　者：游子毅[1,2,3] 章俊华 陈世国[1,2,3] 王义[2,3] 

机构地区：[1]贵州省机械电子产品质量监督检验院,贵阳550081 [2]贵州师范大学物理与电子科学学院,贵阳550001 [3]贵阳市汽车电子技术重点实验室,贵阳550001

出　　处：《计算机应用研究》2014年第6期1719-1722,共4页Application Research of Computers

基　　金：国家自然科学基金资助项目(61262007);贵州省科学技术基金资助项目(黔科合J字[2011]2214号);贵州师范大学博士科研启动基金资助项目

摘　　要：为了确保感知数据的安全性和精确性,提出了一种动态的数据融合方案,用于多源交通信息的采集和管理。在该方案中,每个簇区内的传感器节点使用前导码、地理位置等参数完成感知数据的融合,应用层再通过信誉度评价和可靠性分配的方法计算融合结果以作出决策。在数据融合的同时加入隐私保护机制以确保交通信息采集的安全,并通过证据函数可靠性分配的手段使得融合结果更接近真实值。仿真结果表明,所提出的数据融合方案在普通节点能耗、融合精确度方面比同类的LEACH协议具有明显的优势。因此,该方案对于智能交通系统是有效和可行的。In order to guarantee the security and precision of sensed data aggregation,this paper proposed a dynamic data aggregation scheme,applied in the collection and management of multi-resources traffic information.In this scheme,sensor nodes in each cluster used parameters such as leading code and geographical position etc.to complete data fusion,and then,application layer gave the decision by computing aggregation result based on the method of creditability estimation and reliability allocation.Privacy policy used in data fusion process guaranteed the safety of traffic information collection,and the reliability allocation of evidence proved that the results of data fusion were more accurate than other schemes in ITS（intelligent transportation system）.Simulation results show that the proposed scheme is superior to similar protocol LEACH in senor nodes energy consumption and aggregation precision.Hence,it get the conclusion that our scheme is effective and feasible for intelligent transportation system.

关 键 词：智能交通 无线传感网络 数据融合 信誉度 证据推理理论 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]