Joint Redundant and Random Network Coding for Robust Video Transmission over Lossy Networks

Zhang, Xingjun; Jing, Cuiping; Tang, Feilong; Fowler, Scott W.; Cui, Huali; Dong, Xiaowen

doi:10.1155/2012/931965

Cited by 4 publications

(3 citation statements)

References 19 publications

(27 reference statements)

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“…This allows for the determination of the propagation delay between network nodes and the calculation of data transmission delay. Consequently, a network transmission delay matrix is constructed [28]. The propagation delay is defined as the ratio of the distance between network nodes to the data propagation speed.…”

Section: Overview Of Congestion Identification Algorithmsmentioning

confidence: 99%

Design and Application of a Resource Allocation Method for CAEVs Internet of Things Based on Swarm Intelligence Computing

et al. 2023

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The Internet of Things (IoT) faces significant challenges in the requirements of sensitive task latency, reasonable resource allocation and reliability for resource transactions. This paper introduces a novel method for road resource allocation in the IoT context of connected and autonomous electric vehicles (CAEVs). The proposed algorithm leverages the ant colony algorithm (ACA) to effectively allocate and coordinate road resources within groups of CAEVs. By considering the energy consumption and pheromone volatilization, the allocation and coordination process of road resources are optimized. To improve the linear packet loss of RED, we adopt the advanced ACA and CRED in the NS2 platform. The experimental results demonstrate that the proposed method outperforms the RED algorithm in packet loss rate and delay time, significantly enhancing system efficiency and performance. Furthermore, the combination of the CRED algorithm and ant colony algorithm successfully mitigates short-term congestion and identifies optimized paths with minimal delay.

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Section: Overview Of Congestion Identification Algorithmsmentioning

confidence: 99%

Design and Application of a Resource Allocation Method for CAEVs Internet of Things Based on Swarm Intelligence Computing

et al. 2023

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“…Galois field size of 8 is selected to guarantee linear independence with a very high probability at application layer [ 29 ]. There is no standard method for selecting a field size, but there are majority of works that consider the Galois field size of 8 [ 19 , 30 ]. Table 2 describes the main simulation parameters.…”

Section: Performance Evaluationmentioning

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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“…In particular, the network that imposes packet loss should have a technology to compensate the loss for a robust quality media transmission. The third paper [3] from Xingjun Zhang, Cuiping Jing, Feilong Tang, Scott Fowler, Huali Cui, and Xiaoshe Dong, entitled "Joint Redundant and Random Network Coding for Robust Video Transmission over Lossy Networks" proposes a novel network-coding scheme that combines the redundant and the random network coding algorithms. The redundant network coding encodes the media packets to enhance the robustness of the lossy network, which reduces the error rate.…”

mentioning

confidence: 99%

Advances in Network-Based Information Systems

You

Yim

Barolli

2012

Mobile Information Systems

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Tremendous advances in the information systems and the communication technologies for the last two decades have made our society an all-connected network environment. Stand-alone or stationarynetworked information systems from the first decade have been integrated into small chips or devices as system-on-chips. In particular, the wireless communication network has superimposed on the existing wired network over the various mobile devices during the last decade. Additionally, different types of access networks have been deployed and almost every object is becoming connected to the single global network throughout the world. As a result, the information systems connected to the single network now may span from RFID barcodes, biomedical sensors, personal or home entertainment devices and automated office machines to environmental surveillance systems, disaster management systems, military equipment, and space satellites. In regards to the network as the infrastructure of the all-connected environment, several essential aspects are required to be considered: addressing, routing, quality control, admission control, unified interface and security. Similarly, issues on unique identification, end-to-end connectivity, protocol adaptation, and homogeneous access also need to be thoroughly discussed. This special issue looked for several high quality research results with outstanding theoretical and practical contributions to the technological advancements of the network-based information systems within the various unfolded technological aspects listed above. To meet the goal, the papers in this special issue were distilled from the papers presented in the 14th International Conference on Network-based Information Systems (NBiS-2011), held in Tirana, Albania. Since this event started in 1998, it has been throwing a large effort to bring together researchers from both network and information systems with the aim of encouraging the exchange of ideas and experiences between these two communities. The selected six outstanding papers have been expanded and revised through a strict review process for months.

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Joint Redundant and Random Network Coding for Robust Video Transmission over Lossy Networks

Cited by 4 publications

References 19 publications

Design and Application of a Resource Allocation Method for CAEVs Internet of Things Based on Swarm Intelligence Computing

Design and Application of a Resource Allocation Method for CAEVs Internet of Things Based on Swarm Intelligence Computing

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

Advances in Network-Based Information Systems

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