Title :
A neural-based MAC protocol for distributed wireless LANs
Author :
Nicopolitidi, P. ; Papadimitriou, G.I. ; Pomportis, A.S. ; Oboidat, M.S.
Author_Institution :
Dept. of Informatics, Aristotelian Univ. of Thessaloniki, Greece
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.
Keywords :
access protocols; adaptive systems; burst noise; learning systems; mobile radio; neural nets; telecommunication traffic; wireless LAN; bursty traffic conditions; distributed wireless LANs; mobile station; network feedback information; neural-based MAC protocol; 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;
Conference_Titel :
Systems, Man and Cybernetics, 2003. IEEE International Conference on
Print_ISBN :
0-7803-7952-7
DOI :
10.1109/ICSMC.2003.1244492
