Resilient performance engineering for Wi-Fi network traffic using Weibull distribution method

In the recent times communication and network system technology has been a major and rapid growing part of Internet traffic. Internet broadband telecommunication network traffics are estimated to support various traffic types such as data, voice, image and video. The analysis is performed on packet traces from existing wireless LAN system. In this paper, analysis of experimental study on existing wireless LAN network traffic is calculated. Packet traces for uptime, downtime and average time for every scenario like data, image and video from the existing Wireless LAN network traffic are collected for analysis. The main thesis of this paper is to obtain a comprehensive understanding of the packet traffic and improve strength of signals including with mobility scenarios like voice, image and video has to work without interruption. Input for analysis contains four different data sets: aggregate traffic, uptime traffic, downtime traffic, only TCP packets are collected from traffic system using Wire shark Tool is considered. The real-time reliability of system is evaluated by using the Weibull++ Software and Wire shark Software Tools. From these results, predicted the future analysis on strength of the signals of the Wi-Fi network traffic placed in various places. Mathematical results are provided for further evaluation and also to obtain the Life Characteristics of system such as Reliability, Probability of failure at specific time and Mean life based on the present data that is collected from existing Wi-Fi system by using statistical software tool Weibull++ version 10.1.2 developed by ReliaSoft.