Title :
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
fDate :
6/23/1905 12:00:00 AM
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;
Conference_Titel :
Electronics, Circuits and Systems, 2001. ICECS 2001. The 8th IEEE International Conference on
Print_ISBN :
0-7803-7057-0
DOI :
10.1109/ICECS.2001.957456
