Data for: A framework for the evaluation of routing protocols in opportunistic networks

The four datasets include the evaluation of various opportunistic routing protocols in four datasets (Reality, Dartmouth, Lyon, INFOCOM2005) using the Adyton simulator (https://github.com/npapanik/Adyton). More specifically, the datasets include the performance data (performance metrics), the processed data used to build the decision matrix and the scoring results for the examined routing protocols using different combinations of decision-making and weighting methods. The four datasets correspond to the four experiments presented in the manuscript entitled "A framework for the evaluation of routing protocols in opportunistic networks". The file ranking-tables.xlsx contains an example highlighting the pitfalls in using traditional performance metrics when ranking protocols using MCDM methods. The example ranks the performance of six well-known opportunistic protocols in the Dartmouth dataset using the SAW decision-making method and the MW weighting method. There are two rankings, one produced using traditional performance metrics and the other using the proposed normalized metrics. The example corresponds to tables 2,3,4 and 5 of the manuscript "A framework for the evaluation of routing protocols in opportunistic networks".本套数据集包含四个子数据集，所有实验均通过Adyton模拟器（Adyton simulator，https://github.com/npapanik/Adyton）完成，针对Reality、Dartmouth、Lyon、INFOCOM2005四个数据集内的各类机会路由协议（opportunistic routing protocols）进行评估。具体而言，本数据集涵盖性能数据（性能指标）、用于构建决策矩阵的预处理数据，以及针对待评估路由协议，采用不同决策方法与权重方法组合时得到的评分结果。 这四个子数据集分别对应题为"机会网络路由协议评估框架"的学术论文中呈现的四项实验。 文件ranking-tables.xlsx包含一则示例，用于说明在使用多准则决策（Multi-Criteria Decision Making, MCDM）方法对路由协议进行排名时，传统性能指标存在的应用缺陷。该示例基于Dartmouth数据集，采用SAW决策方法与MW权重法，对六种知名的机会路由协议的性能进行排名。示例包含两组排名结果：一组基于传统性能指标生成，另一组则基于本文提出的标准化指标生成。该示例对应上述题为"机会网络路由协议评估框架"的学术论文中的表2、表3、表4与表5。