Title: DYNAMIC OPTIMIZATION OF IEEE 802.11 DCF BASED ON ACTIVE STATIONS AND COLLISION PROBABILITY

Issue Number: Vol. 7, No. 2
Year of Publication: Apr - 2017
Page Numbers: 66-74
Authors: Nithya Balasubramanian, Shreenivas Bharadwaj Venkataramanan and Aravind Aathma
Journal Name: International Journal of Digital Information and Wireless Communications (IJDIWC)
- Hong Kong
DOI:  http://dx.doi.org/10.17781/P002235

Abstract:


In IEEE 802.11 wireless networks, the back-off algorithm has an exponential Contention Window (CW) increment and resetting CW strategy. Under heavy network load conditions the traditional Binary Exponential Back-off (BEB) algorithm has very low throughput and high collision probability. In this paper, an algorithm called Dynamically Optimized Contention Window (DOCW) is introduced to estimate the optimal Contention Window CWopt according to the number of active competing stations and the current collision probability. The proposed algorithm dynamically adapts CW with respect to the current network states. Simulation of the proposed DOCW algorithm has been conducted to measure various parameters like throughput, collision probability, control overhead and packet loss. The simulation results for varying number of station reveal that the proposed algorithm outperforms the existing Novel Contention Window Back-off (NCWB) and the traditional BEB in randomly formed topologies.