On the QoS Assessment of Video Sessions in Heterogeneous 3G-WLAN Networks with Seamless and Secure M

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Real-time video data transmission is currently emerging as a popular application among mobile users but it is very sensitive to QoS degradation due to packet losses in wireless networks.In order to achieve service continuity and integrity upon handoffs among heterogeneous networks,provisioning of seamless and secure mobility is required.However,in order to reduce the delay and packet losses during vertical handovers we need to employ supportive protocols like context transfer.In this paper we evaluate the QoS of video transmission over a heterogeneous 3G-WLAN network.The aggregate video data traffic is represented by a dynamic two-dimensional Markov chain model,which has been evaluated against real video data measurement.Upon the vertical handover, appropriate AAA handshaking and enhanced mobility management using context transfer have been considered.Perceived QoS evaluation of video streams was performed based on peak signal-noise ratio(PSNR) measurements,while we analyticallyestimated the number of packet losses during handovers.The results show that both packet loss within the converged network and loss occurrence affecting the perceived video quality is reduced. Moreover,the proposed context transfer scheme minimizes handover delay and the number of lost packet up to 3 times compared to standard AAA handshaking. Real-time video data transmission is currently emerging as a popular application among mobile users but it is very sensitive to QoS degradation due to packet losses in wireless networks. Order to achieve service continuity and integrity upon handoffs among heterogeneous networks, provisioning of seamless and secure mobility is required. However, in order to reduce the delay and packet losses during vertical handovers we need to employ supportive protocols like context transfer. In this paper we evaluate the QoS of video transmission over a heterogeneous 3G-WLAN network. aggregate video data traffic is represented by a dynamic two-dimensional Markov chain model, which has been evaluated against real video data measurement .Upon the vertical handover, appropriate AAA handshaking and enhanced mobility management using context transfer have been considered. Perceived QoS evaluation of video streams was based on peak signal-noise ratio (PSNR) measurements, while we analyticallyestimat ed the number of packet losses during handovers. The results show that both packet loss within the converged network and loss occurrence affecting the perceived video quality is reduced. Moreover, the proposed context transfer scheme minimizes handover delay and the number of lost packets up to 3 times compared to standard AAA handshaking.
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