An Adaptive Packet Loss Recovery Method for Peer-to-Peer Video Streaming Over Wireless Mesh Network

Ghaeini, Hamid Reza; Akbari, Behzad; Barekatain, Behrang

doi:10.1007/978-1-4614-7010-6_80

Cited by 5 publications

(2 citation statements)

References 17 publications

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“…The result of shows that unequal importance frame protection can reduce the loss effect of dependency between video frames. In and , different packet loss recovery schemes of unequal importance frame protection have been evaluated analytically. The results of and show that protection of high importance frames like I‐frames by FEC method and protecting the other frames by BEC method will reduce the error propagation effect on a P2P video stream with a reasonable price of FEC overhead.…”

Section: Related Workmentioning

confidence: 99%

Adaptive video protection in large scale peer‐to‐peer video streaming over mobile wireless mesh networks

Ghaeini

Akbari

Barekatain

et al. 2015

Int J Communication

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Summary Because video streaming over mobile handheld devices has been of great interest, the necessity of introducing new methods with low implementation cost and scalable infrastructures is a strong demand of the service. In particular, these requirements are present in popular wireless networks such as wireless mesh networks (WMN). Peer‐to‐peer (P2P) networks promise an efficient scalable network infrastructure for video streaming over wired and wireless networks. Limited resources of the peers in P2P networks and high error rate in wireless channels make it more challenging to run P2P streaming applications over WMNs. Therefore, it is necessary to design efficient and improved error protection methods in P2P video streaming applications over WMNs. In this paper, we propose a new adaptive unequal video protection method specially intended for large scale P2P video streaming over mobile WMNs. Using this method, different frames have different priorities in receivers along the recovery process. Moreover, we precisely and completely evaluate different aspects related to frame protection in these networks using five important performance metrics including video distortion, late arrival distortion, end‐to‐end delay, overhead and initial start‐up delay. The results obtained from a precise simulation in OMNeT++ show that the proposed adaptive method significantly outperforms other solutions by providing better video quality on mobile wireless nodes. Copyright © 2015 John Wiley & Sons, Ltd.

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Section: Related Workmentioning

confidence: 99%

Adaptive video protection in large scale peer‐to‐peer video streaming over mobile wireless mesh networks

Ghaeini

Akbari

Barekatain

et al. 2015

Int J Communication

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“…Theses topologies are more flexible in churning and search operations. Consequently, they are appropriate for real-time traffics such as video streaming [20,23,24].…”

Section: Introductionmentioning

confidence: 99%

An enhanced heuristic XoR network coding-based method for high quality video streaming over VANETs

et al. 2019

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One of the most important challenges in live video streaming in mobile vehicular networks is the optimal use of broadband and point-to-point packet delay. Recent studies show that the sheer use of frames flow compression methods (such as H.264 or HEVC) and the proper communication overlay, such as Peer-to-Peer (P2P), has no absolute influence on increasing the quality of received video in VANET networks. Therefore, the use of an appropriate data exchange method, such as network coding, seems to be of great importance. Compared to Random Network Coding (RNC), XoR Network Coding (XNC) method has the least computational load for the network which is an important factor in optimal use of limited energy of nodes in a wireless network. The basic problem in XNC is that when a node is supposed to combine several frames and transmit them through an encoded frame, how this combination could be made to enable other nodes of the network to be broadcasted through receiving this packet and how can the available packets in their buffers decode as well as extract the largest number of frames in order to experience a higher video quality. To fulfil this aim, an encoding intelligent method is required which is based on the buffers’ status of neighbours. In the proposed method in this article, the best frame combination is reached through buffers status of neighbours and AHP methods or AHP-TOPSIS methods, and the encoded frames are broadcasted through XNC. Simulation results show that due to the reduction in number of transmitted packets in the network, parameters such as congestion and point-to-point delay are significantly reduced and vehicles experience a higher video quality compared with other similar methods.

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Peer-to-Peer Adaptive Forward Error Correction in Live Video Streaming over Wireless Mesh Network

Ghaeini

Akbari

2014

Lecture Notes in Computer Science

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An Adaptive Packet Loss Recovery Method for Peer-to-Peer Video Streaming Over Wireless Mesh Network

Cited by 5 publications

References 17 publications

Adaptive video protection in large scale peer‐to‐peer video streaming over mobile wireless mesh networks

Adaptive video protection in large scale peer‐to‐peer video streaming over mobile wireless mesh networks

An enhanced heuristic XoR network coding-based method for high quality video streaming over VANETs

Peer-to-Peer Adaptive Forward Error Correction in Live Video Streaming over Wireless Mesh Network

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