Swarm and Location-Based QoS Routing Algorithm in MEO/LEO Double-Layered Satellite Networks

被引：0

作者：

Yang M. ^{[1
]}

Shao X. ^{[1
]}

Xue G. ^{[1
]}

Dou Y. ^{[1
]}

Liu X. ^{[1
]}

机构：

[1] Communication Research Center Harbin Institute of Technology, Harbin

来源：

Wireless Communications and Mobile Computing | 2023年 / 2023卷

关键词：

All Open Access; Gold;

D O I：

10.1155/2023/4897698

中图分类号：

学科分类号：

摘要：

In this paper, we mainly research on the QoS (Quality of Service) routing algorithms for MEO/LEO (medium Earth orbit/low Earth orbit) double-layered satellite networks. In this type of networks, the rapidly changing network topology due to relative motion of satellites is one of the main challenges when designing an efficient routing algorithm. Specifically, the issues of high rerouting overhead and traffic routing with diverse QoS requirements remain to be resolved. This paper proposed a M-BMDP (modified bandwidth constrained minimum delay path) routing algorithm based on swarm and location for MEO/LEO double-layered satellite networks. This algorithm forms a set of LEO groups according to the footprint of MEO satellites and chooses the relative MEO satellites as its group manager. For delay sensitive traffic, the algorithm can improve the QoS as the cost of packet loss based on hop limit. And for users located in reversed crevice zone, the traffic can route through one MEO satellite to reduce the time delay. The simulation results show that the M-BMDP algorithm performs better in rerouting delay, overhead and pack loss rate compared with existing solutions. Copyright © 2023 Mingchuan Yang et al.

引用

共 14 条

[1]

Lysogor I.I., Voskov L.S., Efremov S.G., Survey of Data Exchange Formats for Heterogeneous LPWAN-Satellite IoT Net-Works, (2018)

[2]

Liu X., Zhai X., Weidang L., Celimuge W., QoS-guarantee resource allocation for multibeam satellite industrial internet of things with NOMA, IEEE Transactions on Industrial Informatics., 17, 3, pp. 2052-2061, (2021)

[3]

Li J., Lu H., Xue K., Zhang Y., Temporal Netgrid model-based dynamic routing in large-scale small satellite networks, IEEE Transactions on Vehicular Technology, 68, 6, pp. 6009-6021, (2019)

[4]

Tang F., Zhang H., Yang L.T., Multipath cooperative routing with efficient acknowledgement for LEO satellite networks, IEEE Transactions on Mobile Computing, 18, 1, pp. 179-192, (2019)

[5]

Chen C., Ekici E., A routing protocol for hierarchical LEO/MEO satellite IP networks, Wireless Networks, 11, 4, pp. 507-521, (2005)

[6]

Ekici E., Akyildiz I.F., Bender M.D., A distributed routing algorithm for datagram traffic in LEO satellite networks, Net-working, IEEE/ACM Transactions, 9, 2, pp. 137-147, (2001)

[7]

Zhou Y., Sun F., Zhang B., A novel QoS routing protocol for LEO and MEO satellite networks, International Journal of Satel-lite Communications and Networking, 25, 6, pp. 603-617, (2007)

[8]

Akyildiz I.F., Jeong S., Satellite ATM networks: a survey, IEEE Communications Magazine, 35, 7, pp. 30-43, (1997)

[9]

Yong L., Sun F., Zhao Y., Virtual topology for LEO satellite networks based on earth-fixed footprint model, IEEE communications letters, 17, 2, pp. 357-360, (2013)

[10]

Nishiyama H., Kudoh D., Kato N., Kadowaki N., Load balancing and QoS provisioning based on congestion prediction for GEO/LEO hybrid satellite networks, Proceedings of the IEEE, 99, 11, pp. 1998-2007, (2011)

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