A parallel algorithm for broadcast scheduling problems in packet radio networks

A parallel algorithm based on an artificial neural network model for broadcast scheduling problems in packet radio networks is presented. The algorithm requires n*m processing elements for an n-mode-m-slot radio network problem. The algorithm is verified by simulating 13 different networks.< >

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Bibliographic Details
Published in:IEEE transactions on communications 1993-06, Vol.41 (6), p.828-831
Main Authors: Funabiki, N., Takefuji, Y.
Format: Article
Language:English
Subjects:
Applied sciences
Artificial neural networks
Equipments and installations
Exact sciences and technology
Intelligent networks
Job shop scheduling
Mobile radiocommunication systems
Packet radio networks
Parallel algorithms
Radio broadcasting
Radio network
Radiocommunications
Round robin
Symmetric matrices
Telecommunications
Telecommunications and information theory
Time division multiple access
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Description
Summary:A parallel algorithm based on an artificial neural network model for broadcast scheduling problems in packet radio networks is presented. The algorithm requires n*m processing elements for an n-mode-m-slot radio network problem. The algorithm is verified by simulating 13 different networks.< >
ISSN:0090-6778
1558-0857
DOI:10.1109/26.231903