Prioritize Efficiently: Layer Selection in Network Coding - Research Data Addendum

Published: 6 May 2019| Version 1 | DOI: 10.17632/fppvbn66hv.1
Contributors:
Roman Naumann, Marie Schaeffer

Description

This research data addendum contains both the raw simulation results and aggregated simulation results that give average values and confidence intervals (which is just one possible way to aggregate the information, and which is the basis for figures in our research article). The research data shown is described in detail in our research article. Find below the data format summary. Raw information follows an eight-column comma separated value format. Each row of raw information corresponds to an event at which a new layer could be decoded by a node. Rows of multiple simulation runs are concatenated. Columns contain the following information: (1) an index of the prioritization strategy (2) the distance in meters between nodes for grid topologies, or for random disc topologies, the inverse node density in meters disc radius per node (3) the feedback ratio (4) simulated time in seconds at which the decoding event occurred (5) the ID of the decoding node (starting with 1) (6) the layer that was newly decoded (starting with 0) (7) a unique ID of the generation (8) the decoding delay in seconds The processed information contains one aggregated results line per set of simulations. It contains named columns and gives the average decoding delay for each layer. The last column gives 95% confidence intervals for the decoding delay.

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Institutions

Humboldt-Universitat zu Berlin

Categories

Ad Hoc Network, Network Coding, Multimedia, Industrial Control, Networking

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