Improving QoS in MANET by estimating the available bandwidth

Bandwidth estimation plays a vital role in case of multimedia communications because it drastically degrades the performance of throughput in mobile networks. Hence an efficient management and sharing of bandwidth among the users is essential to improve the performance of networks. There are so many techniques are available to estimate the available bandwidth, but most of the techniques fail to estimate available bandwidth in a wireless resource constrained network due to the increased variability of wireless channel conditions and variable bit rate. To improve the accuracy in Available Bandwidth Estimation, the proposed system estimate Service Process and Effective Service Curve for a variable bit rate (VBR) flows using stochastic process model. The random factors incoming data rate ri and outgoing data rate ro are used to determine the flows. By increasing the accuracy of the bandwidth estimation, the end to end throughput is increased and delay is minimized in MANET.