Internet Protocol Stack Dataset
The rapid evolution of communication networks and the ever-increasing demand for efficient data transfer have led to the development of cognitive networking, which aims to enhance network performance through intelligent and adaptive protocols. To facilitate research and development in this domain, we present a comprehensive dataset detailing the parameters of a Network Protocol Stack which can be used to develop a Cognitive Network Protocol Stack designed for efficient networking. Through the examination of various scenarios involving both mobile and stationary nodes, data has been gathered using a network simulator to assess protocol stack parameters and their impact on network performance metrics. The dataset can be used to evaluate and compare the extent to which each parameter affects these network performance metrics.
The dataset is divided into 8 files (1000 data-points in each). The name of the file indicates the specific case to which the data inside corresponds. The name of each file is as follows :
- Multiple Mobile Node VoIP
- Multiple stationary Node VoIP
- Two Mobile Node VoIP
- Two Stationary Node VoIP
- Multiple Mobile Node HTTP
- Multiple stationary Node HTTP
- Two Mobile Node HTTP
- Two Stationary Node HTTP
The data is available in two different formats for each of the 8 cases - CSV and XLSX. The first row of each file represents whether the parameter is tunable, non-tunable or a performance metric. The second row has the name of the parameter/metric. Third row onward we have 1000 data-points (row 3 to 1003).