A neural-based MAC protocol for distributed wireless LANs

A self-adaptive neural-based MAC protocol for distributed wireless LANs, capable of operating efficiently under bursty traffic conditions, is introduced. According to the proposed protocol, the mobile station that is granted permission to transmit is selected by means of a neural-based algorithm. Th...

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Published inSMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483) Vol. 4; pp. 3870 - 3875 vol.4
Main Authors Nicopolitidis, P., Papadimitriou, G.I., Pomportis, A.S., Oboidat, M.S.
Format Conference Proceeding
LanguageEnglish
Published IEEE 2003
Subjects
Access protocols
Bit error rate
Local area networks
Media Access Protocol
Network topology
Neurofeedback
Permission
Telecommunication traffic
Wireless application protocol
Wireless LAN
Online AccessGet full text
ISBN9780780379527
0780379527
ISSN1062-922X
DOI10.1109/ICSMC.2003.1244492

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Abstract A self-adaptive neural-based MAC protocol for distributed wireless LANs, capable of operating efficiently under bursty traffic conditions, is introduced. According to the proposed protocol, the mobile station that is granted permission to transmit is selected by means of a neural-based algorithm. The neural-based algorithm takes into account the network feedback information in order to update the choice probability of each mobile station. The proposed protocol is compared via simulation to TDMA and is shown to exhibit superior performance under bursty traffic conditions even when the network feedback is noisy.
AbstractList A self-adaptive neural-based MAC protocol for distributed wireless LANs, capable of operating efficiently under bursty traffic conditions, is introduced. According to the proposed protocol, the mobile station that is granted permission to transmit is selected by means of a neural-based algorithm. The neural-based algorithm takes into account the network feedback information in order to update the choice probability of each mobile station. The proposed protocol is compared via simulation to TDMA and is shown to exhibit superior performance under bursty traffic conditions even when the network feedback is noisy.
Author Nicopolitidis, P.
Pomportis, A.S.
Papadimitriou, G.I.
Oboidat, M.S.
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Snippet A self-adaptive neural-based MAC protocol for distributed wireless LANs, capable of operating efficiently under bursty traffic conditions, is introduced....
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StartPage 3870
SubjectTerms Access protocols
Bit error rate
Local area networks
Media Access Protocol
Network topology
Neurofeedback
Permission
Telecommunication traffic
Wireless application protocol
Wireless LAN
Title A neural-based MAC protocol for distributed wireless LANs
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Volume 4
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