Weighted Link Schedules in sub-100 node Random Topology Wireless Networks

Shuai Zhang; Oluwaseun Ajayi; Yu Cheng

doi:10.5281/zenodo.7672113

Published June 1, 2022 | Version 0.1

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Weighted Link Schedules in sub-100 node Random Topology Wireless Networks

1. Illinois Institute of Technology

This is a data repo for the data samples used for learning the link scheduling in a randomly placed networks. This data set contains samples for sub 100-node networks, and the scheduling decisions are made from delayed column generation (DCG) algorithm.

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Name	Size	Download all
random_weighted_flow_60_4.tar.xz md5:5b26bafdeef85cd9fe4d70036795fc46	6.2 GB	Download
random_weighted_flow_70_5.tar.xz md5:d650212eeb2ecea1f78089fb21bd10e8	7.9 GB	Download
random_weighted_flow_75_4.tar.xz md5:7e39eca549a6fd97fdb769f28e334947	8.1 GB	Download

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Created: March 27, 2023
Modified: March 27, 2023

Weighted Link Schedules in sub-100 node Random Topology Wireless Networks

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