Xu, Xiangyang (2004) Broadcast networks on 2p-1 nodes and minimum broadcast network on 127 nodes. Masters thesis, Concordia University.
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Abstract
Broadcasting is a basic problem of communication in usual networks. To design an optimal broadcast network on n nodes is very difficult. Numerous previous papers have investigated ways to construct networks with sparse communication lines in which broadcasting can be completed in the theoretically minimum amount of time from any originator. Minimum broadcast networks are the sparsest possible networks of this type, which have the minimum number of communication lines denoted by B ( n ). Many previous papers also have investigated the construction of minimum broadcast networks for small values of n . Among those, a minimum broadcast network on 63 nodes is the largest. In this thesis, a new technique of constructing broadcast networks on 2 p - 1 nodes is introduced. Furthermore, this technique is improved to construct broadcast networks on any odd number of nodes. Improved upper bounds on B ( n ) for broadcast networks on 2 p - 1 nodes are presented. Also, general bounds on B ( n ) for broadcast networks on any odd number of nodes are given. Finally, all known minimum broadcast networks on 2 p - 1 nodes are studied and common properties of them are observed. Then, careful studies of the observed properties and massive experimental work lead to the construction of a minimum broadcast network on 127 nodes. This network is proven to have 389 communication lines.
Divisions: | Concordia University > Gina Cody School of Engineering and Computer Science > Computer Science and Software Engineering |
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Item Type: | Thesis (Masters) |
Authors: | Xu, Xiangyang |
Pagination: | ix, 113 leaves : ill. ; 29 cm. |
Institution: | Concordia University |
Degree Name: | M. Comp. Sc. |
Program: | Computer Science |
Date: | 2004 |
Thesis Supervisor(s): | Harutyunyan, H. A |
Identification Number: | TK 5105.55 X8 2004 |
ID Code: | 7914 |
Deposited By: | Concordia University Library |
Deposited On: | 18 Aug 2011 18:10 |
Last Modified: | 13 Jul 2020 20:02 |
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