Dynamic Load Balancing Method Based on Congestion Prediction for IP/LEO Satellite Networks
| Autor: | Nei Kato, Daigo Kudoh, Hiroki Nishiyama, Kenichi Kashibuchi |
|---|---|
| Rok vydání: | 2009 |
| Předmět: |
education.field_of_study
Computer Networks and Communications Network packet Computer science ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS Population Real-time computing Throughput Load balancing (computing) Telecommunications network Traffic congestion Physics::Space Physics Computer Science::Networking and Internet Architecture Satellite Electrical and Electronic Engineering education Software Simulation |
| Zdroj: | IEICE Transactions on Communications. :3326-3334 |
| ISSN: | 1745-1345 0916-8516 |
| DOI: | 10.1587/transcom.e92.b.3326 |
| Popis: | In Low Earth Orbit (LEO) satellite networks, the user distributions are unbalanced due to the geography and the population dispersion. As a result, some satellites have few traffic loads, while others have heavy traffic loads which often lead to congestion events. In this paper, we propose a novel load balancing method based on congestion prediction. In the proposed method, each satellite detects areas where congestion often occurs and conveys their positions to its adjacent satellites. In those areas, the concerned satellites perform load balancing algorithms to prevent congestion. The performance of the proposed method is evaluated through a number of simulations. The simulation results demonstrate that the proposed scheme improves packet drop rate, end-to-end delay, and throughput. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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