Efficient scalable video multicast based on network-coded communication

Chau, Phuc; Shin, Jitae; Jeong, Jaehoon

doi:10.1007/s11276-016-1409-6

Cited by 2 publications

(2 citation statements)

References 33 publications

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“…Finally, still regarding server-based solutions, Chau et al [5], in 2018, implemented a cooperative multicast of scalable video using network coding, to ensure the delivery of content, over relay-based cellular networks, guaranteeing a smooth playback. Being a good candidate for using in 5G networks, this work features a cooperative mechanism which overcomes the performance degradation of wireless broadcast due to interferences and path losses, whilst it uses a network coding technique to ensure correct multimedia content delivery.…”

Section: Related Workmentioning

confidence: 99%

Real-time video frame differentiation in multihomed VANETs

2021

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Providing high quality video transmission in VANETs is very challenging due to the highly dynamic, unpredictable topology, and low bandwidth characteristics. In this article, we design a system able to optimally transmit RTP video streams in an IP-based multihomed VANET. By splitting the video through its different frame types in the array of multihomed paths from the center node of the network to the clients, the system can then send critical frames, depending on the used coding standard, through a more reliable path, in order to improve the video performance even if the quality is degraded due to bad signal reception. Two different content-based multihomed video distribution schemes have been proposed: linear selection, where the system is able to select more reliable paths for higher prioritized segments; and adaptive selection, where the paths are sensed to assess their congestion level in a real-time approach. Through real deployment of these approaches in a real vehicular scenario, with mobility, handovers and multihoming, the proposed approaches achieved a strong decrease in the loss percentage, with a maximum of approximately 60.4%, greatly improving the video quality while on the move.

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Section: Related Workmentioning

confidence: 99%

Real-time video frame differentiation in multihomed VANETs

2021

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“…The RLNC has been exploited efficiently in many applications, such as reliable point-to-point communication [ 16 ] and efficient multicast [ 17 , 18 ] to enhance reliability and bandwidth efficiency. Furthermore, performance could be significantly enhanced by combining resource allocation frameworks beside the ordinary advantages of RLNC [ 19 ].…”

Section: Related Workmentioning

confidence: 99%

Distributed Systematic Network Coding for Reliable Content Uploading in Wireless Multimedia Sensor Networks

Chau

Shin

Jeong

2018

Sensors

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Recently, the wireless sensor network paradigm is shifting toward research aimed at enabling the robust delivery of multimedia content. A challenge is to deliver multimedia content with predefined levels of Quality of Service (QoS) under resource constraints such as bandwidth, energy, and delay. In this paper, we propose a distributed systematic network coding (DSNC) scheme for reliable multimedia content uploading over wireless multimedia sensor networks, in which a large number of multimedia sensor nodes upload their own content to a sink through a cluster head node. The design objective is to increase the reliability and bandwidth-efficient utilization in uploading with low decoding complexity. The proposed scheme consists of two phases: in the first phase, each sensor node distributedly encodes the content into systematic network coding packets and transmits them to the cluster head; then in the second phase, the cluster head encodes all successfully decoded incoming packets from multiple sensor nodes into innovative systematic network coding packets and transmits them to the sink. A bandwidth-efficient and channel-aware error control algorithm is proposed to enhance the bandwidth-efficient utilization by dynamically determining the optimal number of innovative coded packets. For performance analysis and evaluation, we firstly derive the closed-form equations of decoding probability to validate the effectiveness of the proposed uploading scheme. Furthermore, we perform various simulations along with a discussion in terms of three performance metrics: decoding probability, redundancy, and image quality measurement. The analytical and experimental results demonstrate that the performance of our proposed DSNC outperforms the existing uploading schemes.

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Efficient scalable video multicast based on network-coded communication

Cited by 2 publications

References 33 publications

Real-time video frame differentiation in multihomed VANETs

Real-time video frame differentiation in multihomed VANETs

Distributed Systematic Network Coding for Reliable Content Uploading in Wireless Multimedia Sensor Networks

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