Research on Node Bandwidth Scheduling Algorithm for Ultraviolet Optical Communication Network Based on Credit Mechanism

UV optical communication and its networking applications are currently limited by performance parameters, such as transmission distance and bandwidth. Under bandwidth-constrained conditions, the study of efficient node scheduling algorithms to solve the effective transmission of multiple services ha...

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Vydáno v:2024 9th International Conference on Electronic Technology and Information Science (ICETIS) s. 472 - 476
Hlavní autoři: Ma, Xiangyao, Wang, Leitao, Wang, Jinkui, Han, Wenzhuo, Cao, Jinglin, Wang, Jingyuan, Li, Jianhua
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 17.05.2024
Témata:
Bandwidth
bandwidth constraints
Channel allocation
credit allocation
dynamic bandwidth allocation
Dynamic scheduling
Heuristic algorithms
Scalability
Scheduling algorithms
Simulation
ultraviolet optical communication
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Shrnutí:UV optical communication and its networking applications are currently limited by performance parameters, such as transmission distance and bandwidth. Under bandwidth-constrained conditions, the study of efficient node scheduling algorithms to solve the effective transmission of multiple services has become one of the critical issues in the research of UV optical communication networks. In traditional scheduling algorithms, network nodes have problems such as slow scheduling speed and congestion when facing massive service flows. And under bandwidth limitations, it is even more challenging to deal with many services effectively. In this paper, for the data transmission problem under bandwidth-constrained conditions in UV networks, a credit-based scheduling algorithm with a bandwidth allocation function is designed, which can provide differentiated service guarantees for different priority services and adjust the bandwidth allocation strategy accordingly with the changes of application scenarios. The method can provide more reasonable and efficient bandwidth allocation for UV networks, improving network performance.
DOI:10.1109/ICETIS61828.2024.10593777