@inproceedings{a6dc658df455407f8becaf33177377c2,
title = "An updating discrete graph-based capacity analytical framework for satellite disruption-tolerant networks",
abstract = "In the satellite Disruption-Tolerant Networks (DTN), capacity of multi-path delivery is quite susceptible to a quasi-deterministic topology with limited resource in nodes. Currently, the space-time graph and event-driven graph, proposed for capturing the dynamics of DTN-inbuilt satellite networks, will incur excess demands of computation and storage with dispensable quantization errors. In this paper, we construct an updating discrete graph (UDG) based algorithmic model to make quantitative analysis on the capacity of a DTN-inbuilt Multiple Satellites and Multiple Ground Stations (MSMGS) networks. In particular, a network capacity analytical framework is established by solving a corresponding maximum flow problem with delivery delay and transmission constraints. The numerical results show that, compared with space-time graph and event-driven graph methods, the proposed method presents obvious improvements with respect to expected network capacity with limited complexity.",
keywords = "Network capacity, Satellite DTN, Updating discrete graph",
author = "Peng Yuan and Zhihua Yang and Nan He and Qinyu Zhang",
note = "Publisher Copyright: {\textcopyright} 2019, Springer Nature Singapore Pte Ltd.; 6th International Conference on Communications, Signal Processing, and Systems, CSPS 2017 ; Conference date: 14-07-2017 Through 16-07-2017",
year = "2019",
doi = "10.1007/978-981-10-6571-2\_19",
language = "英语",
isbn = "9789811065705",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Verlag",
pages = "157--164",
editor = "Qilian Liang and Min Jia and Jiasong Mu and Wei Wang and Xuhong Feng and Baoju Zhang",
booktitle = "Communications, Signal Processing, and Systems - Proceedings of the 2017 International Conference on Communications, Signal Processing, and Systems",
address = "德国",
}