Wireless contention access backoff method

Abstract

The invention discloses a wireless contention access backoff method. The method comprises the following steps: the function between a normalized network throughput Rho and an AISN (Average Idle Slot Numbers) Lidle is firstly established, the optimal AISN range is defined according to the established function relationship, the AISN in the different scenes are positioned in the range, and the network throughput all can close to the maximum throughput and has nothing to do with the specific network scene. The size of DCWA (Dynamic Contention Windows Adjustment) is adjusted according to that the AISN whether or not is in the optimal idle slot number range: when the contention window is small, the increase amplitude is large and the decrease amplitude is small; and when the contention window is large, the increase amplitude is small and the decrease amplitude is large, so that the average contention windows of all nodes are tend to be the same, and the throughput and the fairness of the network are improved.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and in particular relates to a wireless contention access avoidance method. Background technique [0002] Under the distributed coordination function (DCF, Distributed Coordination Function) access mechanism of IEEE 802.11, each node in the network accesses the wireless channel in a competitive manner. The intensity of node competition is controlled and regulated by Binary Exponential Backoff (BEB) algorithm. When the number of network users increases and the network load increases, the network performance decreases significantly due to the increase of collisions, which is manifested in the decrease of network throughput, the decrease of fairness, and the increase of delay. [0003] In order to improve network performance, researchers have proposed many IEEE 802.11DCF improved algorithms, which can be classified into two categories, adjusting the contention window size and adjusti...

AI Technical Summary

Problems solved by technology

Some of the above algorithms only improve one aspect of network performance, while on the other hand, the network performance does not improve or becomes worse, such as improving throughput, but sacrificing fairness

Some algorithms are too complex and difficult to implement, such as calculating the number of active nodes in the current network, etc.

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