An Intelligent Approach for Solving QoS and Multicast Routing Issues

Author:

Abdulmajeed Hazem H.1ORCID,Alsawy Assem2ORCID,Hefny Hesham Ahmed1ORCID

Affiliation:

1. Faculty of Graduate Studies for Statistical Reseach, Cairo University, Egypt)

2. Faculty of Computer Science and Information Technology, Al-Ahram Canadian University, Egypt)

Publisher

ACM

Reference37 articles.

1. DRL-M4MR: An intelligent multicast routing approach based on DQN deep reinforcement learning in SDN

2. Yue Li , Zhenyu Yin , Yue Ma , Fulong Xu , Haoyu Yu , Guangjie Han and Yuanguo Bi , ( 2022 ) “ Heuristic Routing Algorithms for Time-Sensitive Networks in Smart Factories ”, Sensors , Vol. 2022 , No. 22, p.4153, Publisher: MDPI. Yue Li, Zhenyu Yin, Yue Ma, Fulong Xu, Haoyu Yu, Guangjie Han and Yuanguo Bi, (2022) “Heuristic Routing Algorithms for Time-Sensitive Networks in Smart Factories”, Sensors, Vol. 2022, No. 22, p.4153, Publisher: MDPI.

3. Heuristic Initialization Based Modified ACO (HIMACO) Mimicking Ant Safety Features for Multicast Routing and its Parameter Tuning

4. A novel approach for clustering and routing in WSN using genetic algorithm and equilibrium optimizer;Heidari Ehsan;International Journal of Communication Systems,2022

5. Performance Analysis on Destination Driven Multicast Routing Algorithm

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