Routing Optimization of LEO Satellite Network Based on Genetic Ant Colony Algorithm
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-2757-5_37
Reference9 articles.
1. Farshin, A., Sharifian, S.: A modified knowledge-based ant colony algorithm for virtual machine placement and simultaneous routing of NFV in distributed cloud architecture. J. Supercomput. 75, 5520–5550 (2019)
2. Xue, H., Kim, K.T., Youn, H.Y.: Dynamic load balancing of software-defined networking based on genetic-ant colony optimization. Sensors 19(2), 311 (2019)
3. Jiang, Z., Liu, C., He, S., Li, C., Lu, Q.: A QoS routing strategy using fuzzy logic for NGEO satellite IP networks. Wirel. Netw. 24, 295–307 (2018)
4. Mohorcic, M., Svigelj, A., Kandus, G.: Traffic class dependent routing in ISL networks. IEEE Trans. Aerosp. Electron. Syst. 40(4), 1160–1172 (2004)
5. Rao, Y., Wang, R.: Performance of QoS routing using genetic algorithm for Polar-orbit LEO satellite networks. AEU Int. J. Electron. Commun. 65(6), 530–538 (2011)
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