Packet transfer delay minimization by network-wide equalization of unbalanced traffic load in Multi-Layered satellite networks

Yuichi Kawamoto, Hiroki Nishiyama, Nei Kato, Naoko Yoshimura, Naoto Kadowaki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication2013 IEEE 77th Vehicular Technology Conference, VTC Spring 2013 - Proceedings
DOIs
Publication statusPublished - 2013 Dec 1
Event2013 IEEE 77th Vehicular Technology Conference, VTC Spring 2013 - Dresden, Germany
Duration: 2013 Jun 22013 Jun 5

Publication series

NameIEEE Vehicular Technology Conference
ISSN (Print)1550-2252

Other

Other2013 IEEE 77th Vehicular Technology Conference, VTC Spring 2013
CountryGermany
CityDresden
Period13/6/213/6/5

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics

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