Wireless networks designs through advanced regulation machine

Abstract

Advanced regulation machine (ARM) is determined to make the perfect parameters (AIFS, CWmin and CWmax) selections in the wireless networks platform. The simple but effective adjustment strategies of three parameters combinations are proposed with the priority theory to obtain the acquired high quality of service (QoS). The internal competitions models of various traffic analysis machines are delivered to detect and reduce the busy probability in the discussed channel. The ARM reduces the conflict probability by the regulations of AIFS, CWmin and CWmax to evaluate the performance analysis of network business. Three simulations in the four businesses of wireless networks applications are applied to perform the adapt parameters regulation results.