Enhancing the Performance of Video Streaming in Wireless Mesh Networks

Qiu, Xiaoling; Li, Haiping; Ghosal, Dipak; Mukherjee, Biswanath; Benko, John; Li, Wei; Bajaj, Rashmi

doi:10.1007/s11277-010-9988-5

Cited by 10 publications

(5 citation statements)

References 20 publications

(36 reference statements)

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“…However, video streaming produces a degraded performance in wireless systems, including in WMNs, due to network/channel impairments, such as packet loss [7,8]. Understanding and modeling the relationship of network impairments, video characteristics, and human experiences by using wireless quality level assessment schemes are key requirements for the delivery of visual content in multimedia mobile networks, such as football matches and other live multimedia events [9].…”

mentioning

confidence: 99%

A real-time video quality estimator for emerging wireless multimedia systems

et al. 2014

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Wireless Mesh Networks (WMNs) are increasingly deployed to enable thousands of users to share, create, and access live video streaming with different characteristics and content, such as video surveillance and football matches. In this context, there is a need for new mechanisms for assessing the quality level of videos because operators are seeking to control their delivery process and optimize their network resources, while increasing the user's satisfaction. However, the development of in-service and non-intrusive Quality of Experience assessment schemes for real-time Internet videos with different complexity and motion levels, Group of Picture lengths, and characteristics, remains a significant challenge. To address this issue, this article proposes a nonintrusive parametric real-time video quality estimator, called MultiQoE that correlates wireless networks' impairments, videos' characteristics, and users' perception into a predicted Mean Opinion Score. An instance of MultiQoE was implemented in WMNs and performance evaluation results demonstrate the efficiency and accuracy of MultiQoE in predicting the user's perception of live video streaming services when compared to subjective, objective, and well-known parametric solutions.

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confidence: 99%

A real-time video quality estimator for emerging wireless multimedia systems

et al. 2014

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“…The results show that both GREENIE and proactive introduced the lowest amount of jitters, while all other routing protocols provided acceptable amount of jitter for video streaming. Finally, the simulation ran for five times, and the average obtained results are depicted in Figures 5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21 with 95% confidence interval (CI). In the following figures, the 'hybrid' word refers to the GREENIE.…”

Section: Simulation Results and Discussionmentioning

confidence: 99%

“…Hence, the reactive routing is considered to be more scalable than the proactive routing [19]. The following are examples of proactive routing protocols: destination-sequenced distance vector (DSDV) [20], better approach to mobile ad-hoc networking (BATMAN) [21], and optimized link state routing (OLSR) [22]. Examples of reactive routing protocols include dynamic source routing (DSR) [23], ad-hoc on-demand distance-vector (AODV) [24], and associatively-based routing (ABR) [25].…”

Section: Routing Protocols In Wireless Mesh Networkmentioning

confidence: 99%

“…A grey relational analysis (GRA)-based [52] approach is proposed by Razzaq [53] for selecting the best path for the most important layers of a SVC stream. Minimum interference route selection (MIROSE) [21] is an enhanced network route selection method which finds the best path with the least interference for video dissemination. A video agent, which is embedded in the access points between the mesh network and the Internet, receives video frame requests from all mesh nodes and chooses a proper path with minimum path contention to send the video flow to them.…”

Section: Video Streaming Over Wmnsmentioning

confidence: 99%

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GREENIE: a novel hybrid routing protocol for efficient video streaming over wireless mesh networks

Barekatain

Maarof

Quintana

et al. 2013

J Wireless Com Network

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In recent years, video streaming over wireless mesh networks (WMNs) has been of great interest among the users. In WMNs, although node mobility and scalability are the two most important well-known advantages by end-users, they can decrease the perceived video quality on receivers with increasing the probability of path failure, especially when the number of mobile mesh nodes and their mobility speeds increase. Therefore, the necessity of employing an efficient routing protocol to consider the effects of node mobility is inevitable. Moreover, the interference can be sharply increased, especially on the gateways, when there are many mobile mesh nodes in a WMN. Interference does not permit the system to support many STA and mobile mesh nodes. In order to cope with these challenges, this study introduces and evaluates a good hybrid routing protocol for data dissemination which efficiently and effectively routes packets in a wireless mesh network and intelligently employs proactive and reactive routing protocols based on the node mobility (GREENIE) for efficient video streaming over WMNs and extensively compares it with other routing protocols including hybrid wireless mesh protocol, proactive, reactive, and spanning trees using OMNET++ simulator. GREENIE intelligently distinguishes mobile from static nodes and selects the most stable path between a source and a destination which leads to higher perceived video quality on receivers. The results show the impact of GREENIE on the perceived video quality so that it considerably outperforms other routing protocols in terms of the total number of successfully received packets, the end-to-end delay, and the imposed routing overhead on the system. One of the main advantages of GREENIE is that it performs routing in the medium access control layer without applying any change in the functions of the internet protocol layer.

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“…Real-time video streaming applications such as video telephony, video conferencing, and video gaming over wireless multi-hop networks have attracted broad attention recently. Due to the time-varying and error-prone characteristics of the wireless channel, supporting video streaming over multi-hop wireless networks faces greater technical challenges [1][2] [3]. Although the bandwidth of the wireless networks has been increased significantly in recent years, it is still difficult to meet the bandwidth requirement of high-quality multimedia streaming applications.…”

Section: Introductionmentioning

confidence: 99%

Optimizing the Joint Source/Network Coding for Video Streaming over Multi-hop Wireless Networks

Cui¹,

Qian²,

Zhang³

et al. 2013

KSII TIIS

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Supporting video streaming over multi-hop wireless networks is particularly challenging due to the time-varying and error-prone characteristics of the wireless channel. In this paper, we propose a joint optimization scheme for video streaming over multi-hop wireless networks. Our coding scheme, called Joint Source/Network Coding (JSNC), combines source coding and network coding to maximize the video quality under the limited wireless resources and coding constraints. JSNC segments the streaming data into generations at the source node and exploits the intra-session coding on both the source and the intermediate nodes. The size of the generation and the level of redundancy influence the streaming performance significantly and need to be determined carefully. We formulate the problem as an optimization problem with the objective of minimizing the end-to-end distortion by jointly considering the generation size and the coding redundancy. The simulation results demonstrate that, with the appropriate generation size and coding redundancy, the JSNC scheme can achieve an optimal performance for video streaming over multi-hop wireless networks.

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Enhancing the Performance of Video Streaming in Wireless Mesh Networks

Cited by 10 publications

References 20 publications

A real-time video quality estimator for emerging wireless multimedia systems

A real-time video quality estimator for emerging wireless multimedia systems

GREENIE: a novel hybrid routing protocol for efficient video streaming over wireless mesh networks

Optimizing the Joint Source/Network Coding for Video Streaming over Multi-hop Wireless Networks

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