DocumentCode
1856582
Title
AM-SRL: Adaptive Multicast operation of the Supernode-based Reverse Labeling algorithm
Author
Dong, Yixin ; Yang, Tingzhou ; Makrakis, Dimitrios ; Lambadaris, Ioannis
Author_Institution
Sch. of Inf. Technol. & Eng., Ottawa Univ., Ont., Canada
Volume
3
fYear
2002
fDate
2002
Firstpage
1412
Abstract
In this paper, the supernode-based reverse labeling (SRL), a quality of service (QoS) routing algorithm for mobile ad hoc networks (MANET), is extended to provide adaptive multicast service. The algorithm, termed AM-SRL (Adaptive Multicast operation of Supernode-based Reverse Labeling), adaptively builds an on-demand multicast mesh by exploiting the hierarchical structure of SRL. The virtual route discovery process of SRL functions as multicast member distribution awareness agent in AM-SRL and the reverse route establishment algorithm enables the adaptive generation of the multicast mesh. AM-SRL guides the redundant level of the multicast mesh by introducing a partial mesh factor. The adaptivity of virtual route selection, reverse route establishment and mesh formation make the algorithm efficient, robust and reliable.
Keywords
ad hoc networks; mobile radio; multicast protocols; quality of service; redundancy; routing protocols; AM-SRL; Adaptive Multicast operation of Supernode-based Reverse Labeling; MANET; QoS routing algorithm; hierarchical structure; mesh formation; mobile ad hoc networks; multicast member distribution awareness agent; on-demand multicast mesh; partial mesh factor; quality of service; redundant level; reverse route establishment algorithm; virtual route discovery; Clustering algorithms; Labeling; Mesh generation; Mobile ad hoc networks; Multicast algorithms; Multicast protocols; Peer to peer computing; Quality of service; Robustness; Routing protocols;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical and Computer Engineering, 2002. IEEE CCECE 2002. Canadian Conference on
ISSN
0840-7789
Print_ISBN
0-7803-7514-9
Type
conf
DOI
10.1109/CCECE.2002.1012960
Filename
1012960
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