@inproceedings{d68f315d5da94273baa47733ce54a834,
title = "A Maximum Concurrent Flow Technique for Optimized Data Routing in IoT Architectures",
abstract = "Maximum Concurrent Flow techniques try to combine a maximum flow graph resolution and the satisfaction of queries on this graph. They are proven to give better performance over classical heuristic data-source placement methods combined with greedy query resolution. A new version of the MCF approach is proposed and examined. It is tailored to provide MCF properties for large IoT networks. The results found from evaluation and comparison with other algorithms show that it has high efficiency and outperforms many recent solutions.",
keywords = "Core network, Internet of Things, Maximum Concurrent Flow Problem, Quality of service requirements, data routing in IoT",
author = "Djaker, \{Abou Bakr\} and Bouabdellah Kechar and Hossam Afifi and Hassine Moungla",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 17th IEEE Annual Consumer Communications and Networking Conference, CCNC 2020 ; Conference date: 10-01-2020 Through 13-01-2020",
year = "2020",
month = jan,
day = "1",
doi = "10.1109/CCNC46108.2020.9045575",
language = "English",
series = "2020 IEEE 17th Annual Consumer Communications and Networking Conference, CCNC 2020",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2020 IEEE 17th Annual Consumer Communications and Networking Conference, CCNC 2020",
}