Topological dynamics characterization for LEO satellite networks

Wang, Junfeng; Li, Lei; Ming-tian, Zhou

doi:10.1016/j.comnet.2006.04.010

Cited by 91 publications

(19 citation statements)

References 17 publications

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“…7. When the fault rate is zero, the satellite snapshot number is 48 in an orbital cycle, which is consistent with the results in [10]. Reversely, the number of virtual snapshot is just 1 when the fault rate is 0.…”

Section: Computation and Storage Overheadssupporting

confidence: 88%

“…When a new ISL is added or an already existing ISL is broken, a new snapshot different from the previous one will be formed. Wang et al [10] gave the theoretical calculation for the snapshot number and time length of LEO satellite networks. In [11], based on the predictable changes of spacecraft networks, the authors formalize the snapshot concept, whereby every satellite only stores the differences between adjacent snapshots and the transition rules, so the snapshot transition can be completed automatically by the satellites with low storage overhead.…”

Section: Introductionmentioning

confidence: 99%

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Low-Load Survivable Routing Protocol for LEO Satellite Networks

Lü¹,

Zhao

Sun

et al. 2015

Int J Wireless Inf Networks

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In this paper, we put forward the methods of footprint shift and separation for the virtual topology model of LEO satellite networks, which can reduce the effects of the Polar Regions and cross-seam inter-satellite-links (ISLs) on the virtual topology and improve the utilization of ISLs. Furthermore, a low-load survivable routing protocol called Virtual Snapshot Routing Protocol is proposed for LEO satellite networks. The proposed protocol not only reduces the routing computation and storage overheads, but also provides good routing survivability under random satellite failure. The experimental results confirm our conclusions.

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Section: Computation and Storage Overheadssupporting

confidence: 88%

Section: Introductionmentioning

confidence: 99%

Low-Load Survivable Routing Protocol for LEO Satellite Networks

Lü¹,

Zhao

Sun

et al. 2015

Int J Wireless Inf Networks

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“…∠S i OS ) and the latitude of the terminals be . Thus a necessary condition for a valid constellation inter-plane phase estimation governed by is given by: arccos(cos(ψ/2 − ψ) · cos(∠S OB)) < min {arccos(cos( ψ) · cos(∠S OB)), arccos(cos(ψ − ψ) · cos(∠S OB))}, (14) where…”

Section: Inter-plane Phase γ Determinationmentioning

confidence: 99%

Constellation inference for polar LEO satellite networks by delay probing

Wang¹,

She²,

Liu³

2007

Trans Emerging Tel Tech

Self Cite

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SUMMARYAs a key part of Next Generation Network (NGN) infrastructure, next generation satellite networks are expected to support a variety of applications with diverse performance requirements. This paper argues the necessities of developing built-in Low Earth Orbit (LEO) satellite constellation inference algorithms. Combined with thorough understanding of the characteristics of underlying satellite network and traffic dynamics, constellation inference is the preliminary step to provide Internet Service Providers (ISPs) an efficient way for network monitoring, system design, traffic engineering and performance promotion.To infer the constellation, a divide-and-conquer mechanism is developed for each parameter estimation by delay probing carried out between two terminals located at the same geographic positions. Performance evaluation on several popular polar LEO constellations proves the accuracy and efficiency of the developed constellation measurement algorithms. The geographic position limitation of the delay probing terminals for a valid constellation inference is also analysed in the paper.

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“…Each of the LEO plane has an 90°obliquity which means the orbit plane is vertical to the equator plane. The LEO satellites are organized into Polar constellation [23,24]. According to our calculation, the LEO layer of our constellation can have full coverage of the Earth.…”

Section: Constellation Modelmentioning

confidence: 99%

A sustainable heuristic QoS routing algorithm for pervasive multi-layered satellite wireless networks

et al. 2009

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Due to the recent developments in wireless technology and electronics, it is feasible to develop pervasive algorithms for satellite environments. Multi-Layered Satellite Networks (MLSNs) that consist of low earth orbit and medium earth orbit satellites are becoming increasingly important since they have higher coverage and better service than single-layered satellite networks. One of the challenges in MLSNs is the development of specialized and efficient routing algorithms. In this paper, we improved the virtual topology strategy and import heuristic algorithm to satisfy the QoS requirements of the MLSN users. The QoS requirements include end to end delay; link utilization, bandwidth, and package loss rate are mainly focused in this paper. To satisfy the QoS requirements is a multi-parameter optimization problem, and it is convinced as a Nondeterministic Polynomial Complete problem already. As a solution, three typical heuristic algorithms-Ant Colony Algorithm, Taboo Search Algorithm and Genetic Algorithm are applied in the routing scheme in order to reduce package loss, link congestion and call blocking. Simulation results show that heuristic routing algorithm can provide more QoS guarantees than shortest path first algorithm on package loss rate, link congestion and call blocking.

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Topological dynamics characterization for LEO satellite networks

Cited by 91 publications

References 17 publications

Low-Load Survivable Routing Protocol for LEO Satellite Networks

Low-Load Survivable Routing Protocol for LEO Satellite Networks

Constellation inference for polar LEO satellite networks by delay probing

A sustainable heuristic QoS routing algorithm for pervasive multi-layered satellite wireless networks

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