Self-adaptive polling protocols for wireless LANs: a learning-automata-based approach

Author

Nicopolitidis, Petros ; Papadimitriou, Georgios I. ; Pomportsis, Andreas S.

Author_Institution

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

Volume

3

fYear

2001

fDate

6/23/1905 12:00:00 AM

Firstpage

1309

Abstract

A learning automata-based polling (LEAP) protocol for infrastructure wireless LANs (WLANs), which is capable of operating efficiently under bursty traffic conditions, is proposed. In LEAP, the mobile station that grants permission to transmit is selected by the base station by means of a learning automaton. It is proved that the learning algorithm asymptotically tends to assign to each station a portion of the bandwidth proportional to the station´s needs. Simulation results reveal superiority of LEAP over more complex to implement polling protocols for WLANs (RAP, GRAP) under bursty traffic conditions

Keywords

access protocols; bandwidth allocation; learning automata; telecommunication traffic; wireless LAN; GRAP; LEAP protocol; RAP; WLANs; base station; bursty traffic conditions; infrastructure wireless LANs; learning algorithm; learning automata-based polling protocol; learning automaton; learning-automata-based approach; mobile station selection; polling protocols; self-adaptive polling protocols; simulation; station bandwidth assignment; transmission permission; wireless LANs; Bandwidth; Base stations; Feedback; Learning automata; Local area networks; Permission; Telecommunication traffic; Traffic control; Wireless LAN; Wireless application protocol;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronics, Circuits and Systems, 2001. ICECS 2001. The 8th IEEE International Conference on

Print_ISBN

0-7803-7057-0

Type

conf

DOI

10.1109/ICECS.2001.957456

Filename

957456