Load Balancing and QoS Provisioning Based on Congestion Prediction for GEO/LEO Hybrid Satellite Networks

Nishiyama, Hiroki; Kudoh, Daigo; Kato, Nei; Kadowaki, Naoto

doi:10.1109/jproc.2011.2157885

Cited by 81 publications

(34 citation statements)

References 20 publications

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“…Moreover, TLR still bears the risk of cascaded congestion as ELB does. In addition to these schemes, Nishiyama and colleagues [23][24][25] introduced some load balancing routing schemes for Multi-Layer Satellite Networks. The purpose of these schemes is to enable each satellite to transfer packets with fewer hops via the LEO layer and to transfer packets with more hops via the MEO layer or Geosynchronous Earth Orbit (GEO) layer.…”

Section: Related Workmentioning

confidence: 99%

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HGL: A hybrid global-local load balancing routing scheme for the Internet of Things through satellite networks

Liu

Wang

et al. 2017

International Journal of Distributed Sensor Networks

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Satellite networks provide complete connectivity and worldwide data transmission capability for constructing the Internet of Things. However, because of the varying Internet of Things traffic density, satellite networks may endure imbalanced traffic requirements and frequent link congestion. To effectively resolve these problems and optimally transmit Internet of Things data, a novel hybrid global-local load balancing routing scheme for Low Earth Orbit satellite networks is proposed in this article. Hybrid global-local load balancing routing scheme enables satellites to route Internet of Things traffic through global planning and local real-time adjustments in two steps. In hybrid global-local load balancing routing scheme, given the predictive nature of Internet of Things traffic distribution and Low Earth Orbit satellite networks, the inter-satellite traffic demand is decomposed into a predictable long-range baseline and unpredictable shortrange fluctuations. A global strategy is employed first for preliminary global traffic allocation based on long-range baselines, and a local strategy is then employed for route adjustments based on short-range fluctuations. With the combination of global planning and local real-time adjustments, network traffic can eventually obtain a near-optimal allocation. Numerical simulations indicate that in contrast to single-strategy schemes, hybrid global-local load balancing routing scheme can more thoroughly eliminate congestion, and it performs better in measures such as packet loss rate, average queuing delay, traffic distribution, route oscillation, and communication overhead.

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Section: Related Workmentioning

confidence: 99%

“…Researchers have proposed load balancing routing schemes [12][13][14][15][16][17][18][19][20][21][22][23][24][25] to improve this situation. Among these schemes, two strategies are commonly used: global strategy and local strategy.…”

Section: Introductionmentioning

confidence: 99%

HGL: A hybrid global-local load balancing routing scheme for the Internet of Things through satellite networks

Liu

Wang

et al. 2017

International Journal of Distributed Sensor Networks

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“…However, SLSN is shown to be inefficient with respect to data transmissions [1]. To address this issue, in the past two decades, multi-layered satellite network (MLSN) has been proposed by a number of researchers [2,3].…”

Section: Introductionmentioning

confidence: 99%

Convex Optimization Based Congestion Control in Layered Satellite Networks

R.R.P¹,

Muknahallipatna²,

J.E³

2016

IJCI

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“…However, this routing strategy leads to a high packet drop rate and high queuing delay, which means the queuing delay must be taken into consideration. Consequently, [4] begins to take the expected queuing delay and congestion status into account when computing the optimal route for packet transmission.…”

Section: Introductionmentioning

confidence: 99%

A Novel Routing Strategy Based on Fuzzy Theory for NGEO Satellite Networks

Liu

Jiang

et al. 2015

2015 IEEE 82nd Vehicular Technology Conference (VTC2015-Fall)

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Non-geostationary (NGEO) satellite networks have a series of advantages over terrestrial networks. However, traditional routing algorithms such as the Dijkstra's Shortest Path (DSP) algorithm always lead to some Inter-Satellite Links (ISLs) heavily loaded. To guarantee a better distribution of traffic among satellites, this paper proposes a Fuzzy Satellite Congestion Indicator (FSCI) to estimate congestion status among neighboring satellites. Indeed, a satellite notifies its neighboring satellites of its FSCI. When it is about to get congested, it requests its neighboring satellites to decrease their data forwarding rates by sending them a self status notification signaling message. In response, the neighboring satellites search for less congested paths according to Fuzzy Route Determination. The routing strategy discussed above is Fuzzy Satellite Routing(FSR). This routing algorithm avoids both congestion and packet drops at the satellite. It also ensures a better traffic distribution over the entire satellite constellation. The mechanism of multiple traffic classes is also discussed in FSR. The good performance of FSR, in terms of short end-to-end delay, higher throughput, and lower packet drops, is verified via a set of simulations using the Network Simulator 2 (NS2).

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Load Balancing and QoS Provisioning Based on Congestion Prediction for GEO/LEO Hybrid Satellite Networks

Cited by 81 publications

References 20 publications

HGL: A hybrid global-local load balancing routing scheme for the Internet of Things through satellite networks

HGL: A hybrid global-local load balancing routing scheme for the Internet of Things through satellite networks

Convex Optimization Based Congestion Control in Layered Satellite Networks

A Novel Routing Strategy Based on Fuzzy Theory for NGEO Satellite Networks

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