Performance study of end-to-end resource management in ATM geostationary satellite networks

2002 ◽  
Author(s):  
G. Acar ◽  
C. Rosenberg
Keyword(s):  
Resource Management ◽  
Geostationary Satellite ◽  
Satellite Networks ◽  
Performance Study ◽  
End To End

Geostationary satellite for multimedia access (SAGAM) - System architecture and satellite resource management

2000 ◽  
Author(s):  
Laurent Roullet ◽  
Pierre Parmentier ◽  
Tarif Al Abadeen ◽  
Celine Fouquet ◽  
Michel Bousquet ◽  
...  
Keyword(s):  
Resource Management ◽  
System Architecture ◽  
Geostationary Satellite ◽  
Multimedia Access

Reliable multicast transport of BGP for geostationary satellite networks

2012 ◽  
Author(s):  
Fabrice Hobaya ◽  
Emmanuel Chaput ◽  
Cedric Baudoin ◽  
Patrick Gelard ◽  
Emmanuel Dubois ◽  
...  
Keyword(s):  
Geostationary Satellite ◽  
Satellite Networks ◽  
Reliable Multicast

An Effective Improved On-Demand Routing for LEO Satellite Networks

2014 ◽  
Vol 548-549 ◽  
pp. 1393-1396
Author(s):  
Zhi Ren ◽  
Bao Yang Du ◽  
Yan Wei Liu ◽  
Ji Bi Li
Keyword(s):  
Setup Time ◽  
Satellite Networks ◽  
Control Packet ◽  
On Demand ◽  
Control Overhead ◽  
End To End Delay ◽  
Leo Satellite Networks ◽  
Redundancy Control ◽  
End To End ◽  
Demand Routing

In our Study, we Find that Location-Assisted on-Demand Routing (LAOR) Algorithm has Redundancy Control Overhead. Furthermore, LAOR does Not make Full Use of the Effective Information of New Path to Complete the Follow-up Path. to Address these Issues, an Improved Effective on-Demand Routing, Effective Improved on-Demand Routing (EIOR) Algorithm, is Proposed in this Paper. EIOR Makes Full Use of the Information of Control Packet to Update more Routing Paths, Reduces the Control Overhead for Finding Path and Increases the Real Time of Routing Updates. Moreover, EIOR Increases the Probability of Intermediate Satellite Replies Request Instead of the Destination Satellite, which Shortens the Setup Time of Path and Reduces the End-to-End Delay. it also Designs the RREP Immune Mechanism to Reduce the Control Overhead of the Network. Theoretical Analysis and Simulation Results Show that EIOR Outperforms LAOR. the EIOR can Reduce at Least 7% of the Normalized Control Overhead and 4% of the Average End-to-End Delay.

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