DocumentCode :
2913662
Title :
AQoS routing based on heuristic algorithm for Double-Layered Satellite Networks
Author :
Long, Fei ; Sun, Fuchun ; Wu, Fengge
Author_Institution :
Comput. Sci. Dept., Tsinghua Univ., Beijing
fYear :
2008
fDate :
1-6 June 2008
Firstpage :
1866
Lastpage :
1872
Abstract :
Double-layered satellite networks (DLSNs) that consist of low earth orbit (LEO) and medium earth orbit (MEO) satellites are becoming increasingly important since they have higher coverage and better service than single-layered satellite networks. One of the challenges in DLSNs is the development of specialized and efficient routing algorithms. In this paper, virtual topology grouping strategy is improved, and a routing scheme based on heuristic algorithm is proposed to satisfy the QoS requirements of the applications. Three typical heuristic algorithms-ant colony algorithm, taboo search algorithm and genetic algorithm are used in the routing scheme for avoiding package loss and link congestion. Simulation results show that heuristic routing algorithm can provide more QoS guarantees than shortest path first (SPF) algorithm on package loss probability and link congestion.
Keywords :
genetic algorithms; quality of service; satellite communication; search problems; telecommunication congestion control; telecommunication network routing; QoS routing; ant colony algorithm; double-layered satellite networks; genetic algorithm; heuristic routing algorithm; link congestion; low earth orbit satellites; medium earth orbit satellites; package loss probability; shortest path first algorithm; taboo search algorithm; virtual topology grouping strategy; Computer science; Delay; Genetic algorithms; Heuristic algorithms; Low earth orbit satellites; Network topology; Packaging; Robustness; Routing; Sun;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Evolutionary Computation, 2008. CEC 2008. (IEEE World Congress on Computational Intelligence). IEEE Congress on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-1822-0
Electronic_ISBN :
978-1-4244-1823-7
Type :
conf
DOI :
10.1109/CEC.2008.4631043
Filename :
4631043
Link To Document :
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