无线网络传输用户信息大数据覆盖模型研究  

Research on Big Data Coverage Model for User Information in Wireless Network Transmission

作　　者：孟超[1] 金龙 孙知信[1] MENG Chao;JIN Long;SUN Zhi- xint(School of Modern Posts＆Institute of Modern Posts,Nangjing University of Posts and Telecommunications,Nangjing Jinagsu 210023,China;National Engineering Laboratory for Logistics Information Technology,YTO Express,Shanghai 201705,China)

机构地区：[1]南京邮电大学现代邮政学院,江苏南京210023 [2]圆通速递物流大数据互通共享国家工程实验室,上海201705

出　　处：《计算机仿真》2018年第8期131-135,392,共6页Computer Simulation

基　　金：国家自然科学基金项目(61373135;61672299);江苏省高校自然科学面上项目(16KJB520033);南京邮电大学科研启动基金项目(NY214024)

摘　　要：在无线传感网络大数据传输中,数据具有很强的相关性,数据相互覆盖,存在大量冗余数据。由于感知结点所具有的能量和通信能力等都十分有限,因此设计有效的网络优化模型,减少数据相互覆盖和冗余数据的传输,成为目前研究的热点。传统的方法采用网络流量监控的方式,设计网络结构,没有考虑数据传输相互覆盖和冗余的问题。利用统计学抽样分布相关性原理,提出感知结点数据传输的相关性覆盖模型,当感知结点采样数据具有较高相关性时,表示数据之间相互覆盖冗余,此时可以随机选择其中一个结点传输数据,而当感知结点采样数据相互独立时,表示数据不存在覆盖冗余,此时结点同时传输数据。通过数据相关性的覆盖模型有效减少了数据覆盖和冗余传输,减轻了数据传输规模。最后实验证明提出的传输覆盖模型具有较高的性能和可行性。In big data transmission of Wireless Sensor Networks, the big data which is covered with each other has a strong correlation, and there is a lot of redundant data. Because the number of nodes is very large and the nodes commonly have limited energy and communication ability, desiging efficient optimization model of WSNs to complete various tasks efficiently with limited resources has become a research focus. The traditional method adopts the network traffic monitoring method to design network, which does not consider the problem of mutual coverage and redundancy of data transmission. A data transmission coverage model based on correlation theory of sample distribution is proposed in the paper, which captures and exploits the degree of correlation in the WSNs for the realization of advanced efficient communication. When the sampling data are highly correlated, it is represented that the data are the mutual coverage and one of the nodes can be selected randomly to transmit data. When the sampled data are independent of each other, it is represented that there is no mutual coverage and the nodes can transmit data simultaneously. Through the correlation model, the data transmission scale is effectively reduced and the network burden is lightened. Finally, the real experiment results indicate that all the proposed model have high performance and feasibility.

关 键 词：物联网 无线传感网 大数据 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]