Performance Evaluation of Multimedia Application QoS over Wireless and Wired IPv6 Networks

Namee, Khanista

doi:10.1109/iccsn.2009.158

Cited by 7 publications

(2 citation statements)

References 3 publications

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“…The 6LowPAN community developed only IPv6-based networks, neglecting the fact that most devices today use IPv4 and that the transition to IPv6 is still far to come. Hence, in the short term different networks, based on either IPv4 or IPv6, need to be connected for different purposes, most of them supporting multimedia content transport [6].…”

Section: Introductionmentioning

confidence: 99%

IPv4Wireless multimedia sensor networks

Persia

Cassioli

2012

2012 Third International Workshop on Software Engineering for Sensor Network Applications (SESENA)

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The acquisition and distribution of multimedia content, such as still images, audio and video streams, are the new frontier of wireless sensor networks (WSNs). Scalar data WSNs commonly rely on the IEEE 802.15.4 standard that defines suitable physical and medium access control layers, whereas wireless multimedia sensor networks (WMSNs) need advanced architectures able to maintain a predetermined level of quality of service (QoS). In this paper, we analyze the potential of the combination of IPv4 and the IEEE 802.15.4 standard, if employed in the innovative VISION's architecture for WMSNs, designed to support real-time video streaming. We implement IPv4 at the network (NWK) layer, because it is the most suitable protocol to guarantee the interoperability among heterogeneous networks, hence it easily allows the remote access to the WMSN's content. Suitable protocols for network management will provide the relevant performance parameters to the QoS engine of the VISION's architecture that will enable the full adaptability of nodes to the context. Since the main QoS requirements for real time video streaming are the maximum tolerable end-to-end delay and packet loss, our performance evaluation focuses on the analysis of latency and transmitted frames, in the presence of different traffic sources. We also measure the power consumption of WMSN's nodes for the video streaming service.

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Section: Introductionmentioning

confidence: 99%

IPv4Wireless multimedia sensor networks

Persia

Cassioli

2012

2012 Third International Workshop on Software Engineering for Sensor Network Applications (SESENA)

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“…Therefore, authors of [54] evaluated the performance of a video streaming and VoIP application over IPV4 and IPV6 networks for wired and wireless communication. The output of the measures of the video streaming and VoIP is summarized in Table 2.…”

Section: Interferencementioning

confidence: 99%

Survey of Transportation of Adaptive Multimedia Streaming service in Internet

Taha

Lloret

Cánovas

et al. 2017

NPA

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Streaming media systems such as YouTube, Netflix, and Apple Music are reining the multimedia world with frequent popularity among users. A key concern of quality perceived for video streaming applications over Internet is the Quality of Experience (QoE) that users experience. Due to changing network conditions, bit rate and initial delay, the multimedia file freezes or provides poor video quality to the end users. Researchers across industry and academia have explored HTTP Adaptive Streaming (HAS), which splits the video content into multiple segments and offers the clients varying qualities. The video player at the client side plays a vital role in buffer management and choosing the appropriate bit rate for each segment of video to be transmitted. A higher bit rate transmitted video pauses in between whereas, a lower bit rate video lacks in quality, requiring a tradeoff between them. The need of the hour was to adaptively vary bit rate and video quality to match the transmission media conditions. Furthermore, the main aim of this paper is to give an overview on the state of the art of HAS techniques across multimedia and networking domains. A detailed survey was conducted to analyze challenges and solutions in adaptive streaming algorithms, QoE, network protocols, buffering, etc. It also focuses on various challenges on QoE influence ISSN 1943-3581 2017 www.macrothink.org/npa 86 factors in a fluctuating network condition, which are often ignored in present HAS methodologies. Moreover, this survey will enable network and multimedia researchers a fair amount of understanding about the latest happenings of adaptive streaming and the necessary improvements that can be incorporated in future developments. Network Protocols and Algorithms

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