Performance of delay‐sensitive traffic in multi‐layered satellite IP networks with on‐board processing capability

Bayhan, Suzan; Gür, Gürkan; Alagöz, Fatíh

doi:10.1002/dac.874

Cited by 16 publications

(8 citation statements)

References 27 publications

(50 reference statements)

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“…Satellites are generally categorized into Low Earth Orbit (LEO), Medium Earth Orbit (MEO), and Geostationary Earth Orbit (GEO) satellites according to their altitude [2] [3]. Each satellite constellation has different advantages [4] [5].…”

Section: General Satellite Constellationsmentioning

confidence: 99%

An intelligent routing scheme effectively utilizing mass storage embedded on satellites to mitigate network congestions

Kaneko

Kawamoto

Nishiyama

et al. 2013

Proceedings of the 16th ACM International Conference on Modeling, Analysis &Amp; Simulation of Wireless and Mobile Systems

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Recently, since many kinds of wireless devices have been widely used and a large amount of contents is available on the Internet, a network system that provides adequate services anytime and anywhere is required. In this research, we focus on satellite networks using mass storage devices to provide the above mentioned services. In this kind of network, multiple satellites are used to cover the whole surface of the earth, and each satellite is equipped with a mass storage device. By using mass storage devices, the satellite network can manage a high buffer capacity to handle large amounts of data. However, no routing method has been developed for such kind of satellite network that can utilize the storage devices and manage the large amount of data in the network effectively. In this paper, we propose a novel routing scheme for the efficient utilization of the mass storage on satellites to mitigate network congestion. The proposed method is analyzed mathematically. The numerical results validate the effectiveness of our proposed method.

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Section: General Satellite Constellationsmentioning

confidence: 99%

An intelligent routing scheme effectively utilizing mass storage embedded on satellites to mitigate network congestions

Kaneko

Kawamoto

Nishiyama

et al. 2013

Proceedings of the 16th ACM International Conference on Modeling, Analysis &Amp; Simulation of Wireless and Mobile Systems

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“…Therefore, they avoid traffic congestion and provide large capacity and high speed networks all over the world. In this paper, we focus on MLSNs consisting of LEO and MEO satellites since they are superior in terms of lower delay and thrifty power consumption [5]. It is needed to design the constellation to delivery traffic efficiently in MLSNs.…”

Section: Introductionmentioning

confidence: 98%

Packet Transfer Delay Minimization by Network-Wide Equalization of Unbalanced Traffic Load in Multi-Layered Satellite Networks

Kawamoto

Nishiyama

Kato

et al. 2013

2013 IEEE 77th Vehicular Technology Conference (VTC Spring)

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Multi-Layered Satellite Networks (MLSNs) have many advantages such as extensive coverage, lower delay performance, and disaster resistance. Moreover, the networks permit load distribution by bypassing traffic efficiently from lower layers to upper layers. In the future, the MLSNs should play an important role to provide global communication services. However, sometimes traffic congestion happens in these networks since the distribution of users is unbalanced heavily depending on geographical restrictions, which causes bad effects on the networks such as increasing delay. Therefore, we focus on network design to avoid traffic congestion. There are many constitution elements to design these networks. One of the most significant elements is the altitude of satellites because it affects propagation distance and number of links between layers in MLSNs, and thus the packet transfer delay of the networks. Therefore, we analyze the relationship between the altitude of satellites and the packet transfer delay with network-wide equalization. Furthermore, the existence of the optimal altitude of satellites is denoted in this paper. Our analyses are validated by simulation experiments.

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“…In the research work conducted by Kawamoto [7] et al , a MLSN model is proposed to distribute the flow of packets between different layers to minimise the packet delivery delay. Bayhan et al [8] introduced an adaptive routing scheme to improve the system performance for delay‐sensitive traffic through two‐layered satellite networks. A multi‐period traffic routing procedure was presented by Gamvrosab [9] to deal with the rerouting penalties in consideration of the route changes in satellite networks.…”

Section: Introductionmentioning

confidence: 99%

Network coding‐based multi‐path routing algorithm in two‐layered satellite networks

Jiang

Tang

et al. 2017

IET Communications

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Performance of delay‐sensitive traffic in multi‐layered satellite IP networks with on‐board processing capability

Cited by 16 publications

References 27 publications

An intelligent routing scheme effectively utilizing mass storage embedded on satellites to mitigate network congestions

An intelligent routing scheme effectively utilizing mass storage embedded on satellites to mitigate network congestions

Packet Transfer Delay Minimization by Network-Wide Equalization of Unbalanced Traffic Load in Multi-Layered Satellite Networks

Network coding‐based multi‐path routing algorithm in two‐layered satellite networks

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