25 March 2021 Congestion avoidance based on artificial bee colony algorithm for routing and wavelength assignment in optical satellite networks
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Abstract

Massive data traffic demand for satellite networks has been increased with the emergence of global broadband services. Due to limited onboard processing capacity and imbalanced distribution of global traffic, severe link congestion may occur in hot spots, deteriorating the performance of the whole network. A link cost modification applied in load balancing algorithm based on artificial bee colony is proposed for routing and wavelength assignment problem to distribute traffic in advance. Moreover, congestion avoidance based on wavelength utilization is designed for unexpected congestion to minimize the adverse impact of congestion on network performance. Experiment results show that the method we proposed realizes high performance in communication success rate and average transmission delay and also achieves the maximum utilization of wavelength utilization under the condition of low blocking rate and the equalization of traffic load.

© 2021 Society of Photo-Optical Instrumentation Engineers (SPIE) 0091-3286/2021/$28.00 © 2021 SPIE
Yeqi Liu, Qi Zhang, Xiangjun Xin, Lan Rao, Ying Tao, Guixing Cao, Yufei Shen, and Yiqiang Li "Congestion avoidance based on artificial bee colony algorithm for routing and wavelength assignment in optical satellite networks," Optical Engineering 60(3), 036109 (25 March 2021). https://doi.org/10.1117/1.OE.60.3.036109
Received: 12 September 2020; Accepted: 4 March 2021; Published: 25 March 2021
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Cited by 1 scholarly publication.
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KEYWORDS
Satellites

Optical engineering

Satellite communications

Optical networks

Algorithms

Networks

Optimization (mathematics)

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