|Abstract:||Recently, the Global Navigation Satellite System (GNSS) attracts more and more people's attention. Inter-satellite links (ISLs) play an important role in the next generation of GNSS. The ISLs are necessary for data communication. There is a great deal of data exchanges among different satellites. The communication performance of the intermittently connected GNSS satellite network has not previously been studied. We focus on this kind of satellite network. Data in the satellite network can be categorized into different types. They have to be stored temporarily in the satellite buffer before they are sent to the next hop. Since the buffer space of the satellite is limited, buffer overflow occurs under heavy traffic load. Buffer overflow will cause data packet loss. The aim of this paper is to analyze how the buffer allocating strategy affects the communication performance of the satellite network. Different buffer allocating strategies are compared in this paper. The average time delay and the packet loss ratio are used as the performance metrics. The performance of different buffer allocating strategies varies with the amounts of buffer size and the network load. This paper proposes to divide part of the buffer resources statically to different types of data, leaving the other part of the buffer shared by different types of data. This method avoids situations where some kind of data is dropped since the buffer allocated for it is full, while the buffer left for other data is still empty. The simulation results show that the proposed algorithm achieves an efficient trade off between different types of data.|
Proceedings of the ION 2017 Pacific PNT Meeting
May 1 - 4, 2017
Marriott Waikiki Beach Resort & Spa
|Pages:||217 - 222|
|Cite this article:||
Huang, Jinhui, Su, Yingxue, Liu, Wenxiang, Li, Jingyuan, Wang, Feixue, Liu, Zhe, "Analysis of Buffer Sharing Strategy for Satellites in the Intermittently Connected GNSS Satellite Network," Proceedings of the ION 2017 Pacific PNT Meeting, Honolulu, Hawaii, May 2017, pp. 217-222.
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