End to End Quality of Service Assurance for Multi-Service Provisioning in Mobile Ad Hoc Networks.

Abstract

Multimedia streaming over Mobile Ad Hoc networks has been a very challenging issue due to the dynamic behavior and uncertain nature of the channels. Transmission of real time video has bandwidth, delay and loss requirements. However there are no Quality of Service (QoS) guarantees for video transmission in today's network. There are many challenging issues that need to be addressed in designing mechanisms for video transmission, which include end-to-end Quality of Service, Bandwidth, Delay, Loss, Congestion, and Heterogeneity. The Challenges of delivering Multi-media signals are even pronounced in Wireless Networks (Mobile Ad Hoc Networks, Wireless Fidelity (Wi-Fi) and Cellular Networks) which are heavily bandwidth constrained and have no fixed infrastructures. In this Research we provide a theoretical model for minimum buffer size as a means of achieving smoother, higher quality streaming video. This Research presents a general optimal video smoothing algorithm based on the concept of dynamically controlled Coefficient of Variance (CV), which is the ratio of standard deviation of the end-to-end delay and the expected value of the delay for each ensemble of packets being transmitted through the network. The results discuss how the size of the "receive buffer" is affected by the allocated bandwidth for each source-pair end users for supporting video streaming applications without any gaps. The simulation performance show that the dynamic client buffer size based on measured bandwidth variation achieves negligible jitter in the video streaming which is subjectively acceptable.

Simevents/ Stateflow base Reconfigurable Scheduler in IP Internet Router

“…Several studies develop different methods and techniques for improving the QoS of the multimedia service in a variety of communication media and devices. Prabesh et al [6] provide a theoretical model for minimum buffer size as a means of achieving the desired QoS for video streaming application. The Research provides a general optimal video smoothing algorithm based on the concept of dynamically controlled Coefficient of Variance (CV), which is the ratio of standard deviation of the end-to-end delay and the expected value of the delay for each ensemble of packets being transmitted through the network.…”