Journal article
ERSVC: An Efficient Routing Scheme for Satellite Constellation Adapting Vector Composition
Procedia computer science, v 10, pp 984-991
2012
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Compared with GEO and MEO satellites, LEO satellite constellation is able to provide low-latency, broadband communications which is difficult to be provided by the GEO or MEO satellites. However, one of the challenges in LEO constellation is the development of an efficient and specialized routing scheme. This paper takes transmission rate and data transmission time into consideration, and proposes ERSVC, an efficient routing scheme for satellite constellation adapting vector composition. ERSVC reduces routing table computation complexity, and saves restricted satellite resources. By adapting vector composition method, the amount of data flowing into satellite constellation is maximized while the data traffic is well controlled. Correlative and comprehensive simulation indicates that ERSVC is superior to existing schemes for LEO satellite constellation, especially in balancing data flow.
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Details
- Title
- ERSVC: An Efficient Routing Scheme for Satellite Constellation Adapting Vector Composition
- Creators
- Jiancheng Li - State Key Laboratory of Aerospace Dynamics,Xi’an Satellite Control Center,Xi’an,710043,P.R.ChinaYuan An - State Key Laboratory of Aerospace Dynamics,Xi’an Satellite Control Center,Xi’an,710043,P.R.ChinaBaohua Wang - State Key Laboratory of Aerospace Dynamics,Xi’an Satellite Control Center,Xi’an,710043,P.R.ChinaWeiwei Fang - Beijing Jiaotong University
- Publication Details
- Procedia computer science, v 10, pp 984-991
- Publisher
- Elsevier
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Information Science
- Web of Science ID
- WOS:000314400700124
- Scopus ID
- 2-s2.0-84896962185
- Other Identifier
- 991020547791804721
UN Sustainable Development Goals (SDGs)
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Computer Science, Hardware & Architecture
- Computer Science, Theory & Methods