Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{172547,
        author = {Akhil Kumar and Dilip Kumar and Nitin Yadav},
        title = {DYNAMIC ADAPTION OF IEEE 802.11 WLAN MODES DCF AND PCF},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {9},
        pages = {88-93},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=172547},
        abstract = {IEEE 802.11 is the most popular family of WLAN at the current time in the IT and communication world. It has two main common mode of operation and function: Distributed Coordinating Function (DCF) and other is called Point Coordinating Function (PCF). Both mode PCF and DCF types of IEEE 802.11 do not perform same(equally) well under all traffic scenarios. Their behavior increases depending upon current size of network as well as traffic load. The DCF mode is useful in the low traffic and they network have small in size and other mode PCF is suitable on high traffic load and to reduce contention in large size network. In this thesis, we have designed three protocols to dynamically adapt IEEE 802.11 MAC under varying load. One of them is designed to dynamically switch between either mode. Our Point Coordinating Function (DSP) observes network traffic to decide switching point and switches dynamically to suit current traffic load and network size. PRRS is our second contribution that aims to cut back polling overheads. The main problem or issue of polling scheme in PCF is their inefficiency when only a small number of nodes have data to send. An unsuccessful polling attempt causes unnecessary delays for station with data. We have presented network monitoring-based scheme that replaces simple Round Robin scheduling in PCF with our Priority Round Robin Scheduling (PRRS). Result shows extensive increase in output particularly once tiny fraction of node has information to transmit.},
        keywords = {Distributed Coordinating Function, Point Coordinating Function, Point Coordinating Function, Priority Round Robin Scheduling.},
        month = {January},
        }