WSN中一种基于网络效益最大化的数据收集方案  

A DATA GATHERING SCHEME BASED ON NETWORK UTILITY MAXIMISATION IN WIRELESS SENSOR NETWORKS

作　　者：李勇燕[1] 万志平[2] 蒋鹏[3] 

机构地区：[1]绍兴文理学院上虞分院,浙江绍兴312300 [2]浙江工业职业技术学院,浙江绍兴312000 [3]杭州电子科技大学,浙江杭州310018

出　　处：《计算机应用与软件》2014年第5期114-118,共5页Computer Applications and Software

基　　金：国家自然科学基金项目(61273072);浙江省教育厅科研课题(FX2012112);浙江省科技厅计划项目(2011R30008)

摘　　要：数据收集问题是无线传感网中的研究热点之一。针对现有的数据收集方法能耗过大以及数据收集精度低下的问题,提出一种基于网络效益最大化的数据收集方案。首先基于压缩采样得到各个节点感知数据的测量值,然后在融合节点处采用随机高斯矩阵对测量值进行编码后传输,最后将编码后的测量值传输问题建模为网络效益最大化问题,并利用拉格朗日乘数法得到近似最优解。仿真实验结果表明,该方法是有效的,在数据重构精度以及网络生命周期等方面都要优于传统的方法。Data gathering is one of hot research topics in wireless sensor networks. Aiming at the problems of too large energy consumption and low accuracy in data gathering the existing data gathering methods have,we propose a data gathering scheme which is based on network utilitymaximisation. First,the scheme collects the measurements of the perception data of each node based on compressive sampling,and then encodes the measurements with Gaussian random matrix at the locations the nodes are fused and followed by transmission,at last,it models the encoded measurement transmission problem as a network utility maximisation problem,and uses Lagrange multiplier method to obtainthe approximate optimal solution. Simulation experimental results show that the proposed method is effective and superior to the traditional methods in terms of the accuracy of data reconstruction and the lifecycle of network.

关 键 词：无线传感网 压缩感知 数据收集 网络效益 重构精度 网络生命周期 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]