A Distortion-Resistant Routing Framework for Video Traffic In Wireless Multihop Networks

ABSTRACT:

Traditional routing metrics designed for wireless networks are application-agnostic. In this paper, we consider a wireless network where the application flows consist of video traffic. From a user perspective, reducing the level of video distortion is critical. We ask the question “Should the routing policies change if the end-to-end video distortion is to be minimized?” Popular link-quality-based routing metrics (such as ETX) do not account for dependence (in terms of congestion) across the links of a path; as a result, they can cause video flows to converge onto a few paths and, thus, cause high video distortion. To account for the evolution of the video frame loss process, we construct an analytical framework to, first, understand and, second, assess the impact of the wireless network on video distortion. The framework allows us to formulate a routing policy for minimizing distortion, based on which we design a protocol for routing video traffic. We find via simulations and test bed experiments that our protocol is efficient in reducing video distortion and minimizing the user experience degradation.

AIM

The aims of this paper are an analytical framework to, first, understand and, second, assess the impact of the wireless network on video distortion.

SCOPE

 The Scope of this paper is allows us to formulate a routing policy for minimizing distortion, based on which we design a protocol for routing video traffic.

EXISTING SYSTEM

In these protocols, one of the critical functionalities that is often neglected, but affects the end-to-end quality of a video flow, is routing. Typical routing protocols, designed for wireless multi hop settings, are application-agnostic and do not account for correlation of losses on the links that compose a route from a source to a destination node. Furthermore, since flows are considered independently, they can converge onto certain links that then become heavily loaded (thereby increasing video distortion), while others are significantly underutilized. The decisions made by such routing protocols are based on only network (and not application) parameters. As one of our main contributions, we construct an analytical model to characterize the dynamic behavior of the process that describes the evolution of frame losses in the GOP (instead of just focusing on a network quality metric such as the packet-loss probability) as video is delivered on an end-to-end path. Specifically, with our model, we capture how the choice of path for an end-to-end flow affects the performance of a flow in terms of video distortion. The packet-loss probability on a link is mapped to the probability of a frame loss in the GOP. The frame-loss probability is then directly associated with the video distortion metric.

DISADVANTAGES:

1. From a user perspective, reducing the level of video distortion is critical.
2. Popular link-quality-based routing metrics (such as ETX) do not account for dependence (in terms of congestion) across the links of a path; as a result, they can cause video flows to converge onto a few paths and, thus, cause high video distortion.

PROPOSED SYSTEM

In this paper, Developing  an analytical framework to capture the impact of routing on video distortion: As our primary contribution, we develop an analytical framework that captures the impact of routing on the end-to-end video quality in terms of distortion Design of a practical routing protocol for distortion-resilient video delivery: Based on our analysis, we design a practical routing protocol for a network that primarily carries wireless video Evaluations via extensive experiments: We demonstrate via extensive simulations and real test bed experiments on a multi hop 802.11a test bed that our protocol is extremely effective in reducing the end-to-end video distortion and keeping the user experience degradation to a minimum

ADVANTAGES

1. Our simulation study shows that the distortion (in terms of PSNR) is decreased by 20% compared to ETX-based routing
2.  The user experience degradation due to increased traffic load in the network is kept to a minimum.

SYSTEM CONFIGURATION

HARDWARE REQUIREMENTS:-

·                Processor          -   Pentium –III

·                Speed                -    1.1 Ghz

·                RAM                 -    256 MB(min)

·                Hard Disk         -   20 GB

·                Floppy Drive    -    1.44 MB

·                Key Board         -    Standard Windows Keyboard

·                Mouse               -    Two or Three Button Mouse

·                Monitor             -    SVGA

SOFTWARE REQUIREMENTS:-

·                Operating System       : Windows  7                                    

·                Front End                  : JSP AND SERVLET

·                Database                  : MYSQL

·                Tool                           :NETBEANS

 

REFERENCE:

Papageorgiou, G. Singh, S. , Krishnamurthy, S.V. , Govindan, R.. “A Distortion-Resistant Routing Framework for Video Traffic In Wireless Multi hop Networks”, IEEE/ACM Transactions on Networking, Volume 23, Issue 2 FEBRUARY 2014.