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An efficient fibonacci series based hierarchical application-layer multicast protocol
Li J.1; Gu N.1; Jia W.1
2006-12-01
Conference Name2nd International Conference on Mobile Ad-hoc and Sensor Networks
Source PublicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4325 LNCS
Pages131-142
Conference DateDEC 13-15, 2006
Conference PlaceHong Kong, PEOPLES R CHINA
Abstract

In this paper, an efficient Fibonacci series based hierarchical protocol-HFTM (Hierarchical Fibonacci Tree Multicast) is proposed for application-layer multicast. It adopts the idea of layer and cluster to construct multicast group members into a hierarchical architecture. During the cluster formation, it considers the underlying network properties to reduce packet delivering on costly links. In each cluster, a Fibonacci multicast tree is constructed by recursively partitioning the member sequence into two halves with different length. Moreover, the size of cluster is taken into account in order to obtain a balanced architecture. The considering of underlying network properties and the construction of Fibonacci multicast tree improve the delay performance of the novel protocol. The simulation shows that HFTM is an efficient and scalable application-layer multicast protocol. © Springer-Verlag Berlin Heidelberg 2006.

DOI10.1007/11943952_12
URLView the original
Language英語English
WOS IDWOS:000244547400012
Scopus ID2-s2.0-84886025714
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Citation statistics
Document TypeConference paper
CollectionUniversity of Macau
Affiliation1.University of Science and Technology of China
2.City University of Hong Kong
Recommended Citation
GB/T 7714
Li J.,Gu N.,Jia W.. An efficient fibonacci series based hierarchical application-layer multicast protocol[C], 2006, 131-142.
APA Li J.., Gu N.., & Jia W. (2006). An efficient fibonacci series based hierarchical application-layer multicast protocol. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 4325 LNCS, 131-142.
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