Impact of imperfect sensing on performance of adaptive back-off algorithm for contention window of CSMA

Abstract

Adaptive contention window algorithms are most commonly used in CSMA/CA to improve the throughput, fairness and reduce the latency and the collision probabilities in today's applications. All the calculations are done with keeping perfect carrier sensing in mind. There is a huge role played by sensing errors like probability of false alarm and probability of miss detection, in the carrier sensing process. In this paper we tried to find out a relationship between these sensing errors and the number of stations. It is being found out by simulations that at lower number of stations probability of false alarm is prominent, whereas at higher density of stations, probability of miss detection is more exclusively visible.