A neural approach to adaptive MAC protocols for wireless LANs

Author

Nicopolitidis, P. ; Papadimitrou, G.I. ; Obaidat, M.S. ; Pomportsis, A.S.

Author_Institution

Dept. of Informatics, Aristotle Univ., Thessaloniki, Greece

Volume

7

fYear

2004

fDate

20-24 June 2004

Firstpage

4253

Abstract

An adaptive 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 IEEE 802.11 and is shown to exhibit superior performance under bursty traffic conditions even when the network feedback is noisy.

Keywords

access protocols; error statistics; feedback; neural nets; telecommunication computing; telecommunication traffic; wireless LAN; TDMA; adaptive MAC protocols; bit error rate; bursty traffic; distributed wireless LAN; network feedback information; neural-based algorithm; Access protocols; Bit error rate; Local area networks; Media Access Protocol; Network topology; Neurofeedback; Permission; Telecommunication traffic; Wireless LAN; Wireless application protocol;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications, 2004 IEEE International Conference on

Print_ISBN

0-7803-8533-0

Type

conf

DOI

10.1109/ICC.2004.1313350

Filename

1313350