无线传感网络混合型数据高效存储方法仿真  被引量:3

Simulation of Hybrid Data Efficient Storage Method for Wireless Sensor Networks

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作  者:王志虎[1,2] Wang Zhi-hu(School of Information Engineering,Wuhan University of Technology,Hubei Wuhan 430070,China;Computer Department of Guangxi College of Economic and Management cadres,Guangxi Nanning 530000,China)

机构地区:[1]武汉理工大学信息工程学院 [2]广西经济管理干部学院计算机系

出  处:《计算机仿真》2019年第7期376-379,共4页Computer Simulation

基  金:国家242信息安全计划(110010601)

摘  要:当前采用的混合型数据存储方法存在丢包率高、能耗高等问题,为了解决上述问题,提出了基于无线传感网络的混合型数据高效存储方法,利用基函数实现信息表征空间的变换,通过求解特征空间基的方式,去除传感网络感知的混合数据中的噪声,完成对混合型数据特征的提取;将上述提取特征后的混合型数据作为存储样本。存储数据时如果没有采用强度和最小传输粒度等数字特征作为存储参数,那么将随机选择一条传感网络链路进行数据传输。当最小传输粒度的一阶矩符号是负数时,要调整数据粒度,利用这个粒度对数据存储采用强度数字特征时完成超带宽控制。根据弹性系数与强度数字特征之间的关系,实现对无线传感网络混合型数据的高效存储。仿真结果表明,所提方法能够在低丢包率、低能耗的情况下实现对混合型数据进行高效存储。In this article, based on wireless sensor network, an efficient storage method of hybrid data is proposed. Transformation of information representation space was achieved via primary function. Noise in the hybrid data sensed by sensor network was eliminated via solving feature space base and extraction of hybrid data feature was completed. The feature-extracted data was used as storage sample. If numerical characteristics such as strength and minimum transmission granularity were not used as storage parameters, a sensor network link was selected randomly to transmit data. When the first moment symbol of minimum transmission granularity was negative, data granularity was adjusted and the granularity was used to carry out intensity numerical characteristic for data storage. Thus, the ultrabandwidth control was completed. According to relation between elastic coefficient and intensity numerical characteristic ,the efficient storage was achieved. Simulation results show that the method can achieve the efficient storage for hybrid data with low packet loss probability and energy consumption.

关 键 词:无线传感网络 混合型数据 高效存储 

分 类 号:TP393[自动化与计算机技术—计算机应用技术]

 

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