基于移动辅助的无线传感器网络信息获取技术研究  

Mobile assisted wireless sensor network information acquisition technique

作　　者：赵辉[1] 贾宗璞[1] 

机构地区：[1]河南理工大学计算机科学与技术学院,河南焦作454000

出　　处：《计算机应用研究》2014年第11期3447-3450,3454,共5页Application Research of Computers

摘　　要：提出了一种基于边际值理论的移动代理辅助的无线传感器网络(WSN)自适应信息获取技术(EMVT)。这种方法来源于行为生态学。根据边际值理论,将整个传感器场分成小块,然后将每一块中的相关数据集中起来。每一个给定节点的观测值都被作为具有一定相对标准差的边际信息源。移动代理通过当前传感器块收集到的信息估计出相关性,然后选择下一个观测节点。由于在动态变化的环境中不同块之间的相关性不同,有效的估计相关性模型方法就是有效数据的获取。基于边际值理论的估计方法能够利用较少的观测值保持感兴趣数据的保真度。仿真表明了方法的有效性。This paper proposed an adaptive data-harvesting approach for mobile-agent-assisted data collection in wireless sen-sor networks （WSN）inspired by behavioral ecology.By using the marginal value theorem,it divided the entire sensor field into small patches and gathered the correlated data from each patch.Each observation gathered by a given sensor node to be con-sidered to be a marginal information source with a relative standard deviation.The mobile agent estimated the correlation based on the available knowledge gathered from the current patch and the previous patches and then chose the next visiting sensor node.Since,in a dynamically changing environment,the correlation varied among different patches,an efficient way to un-derstand the correlation model was the key to efficient data harvesting.The proposed estimation technique of the marginal value theorem,which is called estimation technique based on the marginal value theorem（EMVT）,is used to maintain the fidelity of the interested data with relatively fewer collected sensor observations.

关 键 词：行为生态学 数据获取 边际值理论 

分 类 号：TP393.09[自动化与计算机技术—计算机应用技术]