基于熵权法的WSNs性能指标权重决策方法  

Method for weight decision of WSNs performance index based on entropy weight method

作　　者：程小辉[1] 梁启亮[1] 何军权[1] 

机构地区：[1]桂林理工大学信息科学与工程学院,广西桂林541004

出　　处：《传感器与微系统》2013年第10期44-47,共4页Transducer and Microsystem Technologies

基　　金：国家自然科学基金资助项目(61262075);广西高等学校重大科研项目(201201ZD012);广西研究生教育创新计划资助项目(YCSZ2012084)

摘　　要：针对无线传感器网络(WSNs)性能评价中多元指标权重难以确定的问题,提出了利用熵权法对多评价指标因子赋权的权重决策方法,建立熵权法权重决策模型对网络性能指标进行客观评价。运用Opnet网络仿真软件,通过改变节点规模获取不同网络性能参数数据样本。数据分析表明:信息熵能够客观准确地反映各指标贡献信息量的大小,基于熵权的权重决策方法能够客观反映不同网络性能指标的相对重要程度。同时,该方法灵活性好,适应性强,可广泛地应用于其他类型网络的性能指标重要程度的评估。Aiming at multivariate index weight is difficult to be determined in wireless sensor networks （WSNs） performance evaluation, propose a scheme using entropy weight method to determine multivariate index weight, and establish a weight decision-making model of entropy weight method to make an objective evaluation on network performance index. Using Opnet network simulation software, obtain data samples of different network performance parameters by changing node size. Data analysis shows that information entropy can objectively and accurately reflect amountof information provided by each index, and the entropy weight-based weight decision-making method can objectively reflect the relative importance of different network performance index. Meanwhile, the method has good flexibility and adaptability, and can be widely applied for evaluation of importance of performance index of other types of networks.

关 键 词：无线传感器网络 熵权 OPNET 网络性能指标 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]