Paper
5 July 2024 Research on multicast routing algorithms
Chang Siwei
Author Affiliations +
Proceedings Volume 13184, Third International Conference on Electronic Information Engineering and Data Processing (EIEDP 2024); 131843E (2024) https://doi.org/10.1117/12.3032880
Event: 3rd International Conference on Electronic Information Engineering and Data Processing (EIEDP 2024), 2024, Kuala Lumpur, Malaysia
Abstract
This work investigates the multicast routing problem for single-source networks, proposing a novel solution that specifically considers multicast routing with delay constraints. A new algorithm is introduced to address this issue, and its performance is evaluated through experimental simulations. Additionally, the presented algorithm is compared concerning performance with the classic heuristic algorithms, namely the KPP algorithm and the BSMA algorithm. The core of this research lies in handling the multicast routing problem within single-source networks. This issue is critical in computer networks as it involves how to transmit data from one source to multiple destinations in the most efficient way within a network. Specifically, the multicast routing problem with delay constraints, which is the focus of this study, is of great importance in real-world networks. The paper innovatively proposes a new algorithm to solve this problem. Initially, by employing Lagrange relaxation, the constrained multicast routing problem is transformed into an unconstrained multicast routing problem, which is then balanced between delay and cost weights using the Bilad algorithm. Subsequently, the unconstrained optimization problem is solved using an exact dynamic programming algorithm. To ascertain the effectiveness of the algorithm, extensive experimental simulations are executed to simulate and evaluate its performance under different network environments and scenarios.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Chang Siwei "Research on multicast routing algorithms", Proc. SPIE 13184, Third International Conference on Electronic Information Engineering and Data Processing (EIEDP 2024), 131843E (5 July 2024); https://doi.org/10.1117/12.3032880
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KEYWORDS
Detection and tracking algorithms

Evolutionary algorithms

Quantum networks

Computer programming

Simulations

Data transmission

Genetic algorithms

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