Data for: A framework for the evaluation of routing protocols in opportunistic networks
Description of this data
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".
Experiment data files
This data is associated with the following publication:
Cite this dataset
Papapetrou, Evangelos; Akestoridis, Dimitrios-Georgios (2019), “Data for: A framework for the evaluation of routing protocols in opportunistic networks”, Mendeley Data, v1 http://dx.doi.org/10.17632/psky9424c6.1