NDLI: An Improved Connection-Oriented Routing in LEO Satellite Networks

Content Provider	IEEE Xplore Digital Library
Author	Jiang Wenjuan Zong Peng
Copyright Year	2010
Abstract	LEO (Low-Earth-Orbit) satellite constellation networks are expected to play a significant role in the future satellite communications. LEO system provides global communication with shorter end-to-end delays. One of the challenges in LEO network is development of specialized and efficient routing algorithm. In this paper, an improved routing algorithm including inter-satellite-link (ISL) and up-down-link (UDL) parts is proposed. Time-variant coverage and handoff models of LEO constellation are presented firstly. Based on the Dijkstra Shortest Path algorithm, a new link-cost considering dynamic distance and traffic distribution is developed for UDLs’ and ISLs’ respectively. It successfully makes our algorithm more reliable. Snapshot determination and kinds of routing filters are also proposed for improving algorithm efficiency. Finally, an Iridium system simulates on OPNET platform. The performances of the algorithm are evaluated through simulations. It shows that our algorithm takes great advantage of dynamic characteristics of LEO system and results are valid and correct. Building up correct LEO satellite networks simulation system in this work is also an important foundation for further studies of cross-layer protocols in LEO satellite networks.
Starting Page	296
Ending Page	299
File Size	480803
Page Count	4
File Format	PDF
ISBN	9781424475063
e-ISBN	9781424475070
DOI	10.1109/ICIE.2010.77
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-08-14
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Earth Algorithm design and analysis routing Network topology up-down link inter-satellite link Satellite broadcasting LEO satellite networks Low earth orbit satellites Routing coverage and handoff snapshot
Content Type	Text
Resource Type	Article

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