A Survey on Video Transmission Using Wireless Technology

Koli, S. M.; Purandare, R. G.; Kshirsagar, S. P.; Gohokar, V. V.

doi:10.1007/978-3-642-17878-8_15

Cited by 5 publications

(7 citation statements)

References 11 publications

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“…FEC coding commonly serves the purpose and included in the PHY layer design of wireless links [13]. This error control mechanism attempts to minimize the visual impact of LPs at the destinations [1,3,6].…”

Section: Fig 2 Protocol Encapsulationmentioning

confidence: 99%

“…Good end-to-end wireless network performance will not be possible without a truly optimized, integrated and adaptive network design [1,3]. Hence, instead of fixing a level of overhead that can cope with worst-case conditions, adaptive error control mechanisms let the error protection vary as the conditions vary i.e.…”

Section: Adaptive Forward Error Correction (Afec)mentioning

confidence: 99%

“…• Video-on-demand or multimedia streaming services • To reach anyone immediately. These multimedia services are now available on the smart handheld devices of user and demand the wireless link to be robust to error [1]. For the real time multimedia signal transmission in wireless medium, available radio resources are limited and hence there is a need of development of adaptable radio interfaces to adapt the variations in the wireless link, in order to optimize network performance [2,3] which will result in good end-to-end wireless network performance.…”

Section: Introductionmentioning

confidence: 99%

“…The end-to-end flow and congestion control mechanisms are required to analyze the end-toend performance of a protocol that has been designed and optimized for wired and wireless networks [3,8,25]. The deleterious effects of noise, interference, jamming, fading, and other channel impairments [1,7] can be effectively reduced by using channel coding and interleaving techniques [24]. Section 2 gives a brief overview on channel coding.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Enhanced Network Throughput of Wireless Network for Digital Video Transmission

S.M¹,

R.G²,

S.P³

et al. 2013

IJWMN

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Digital video transmission using wireless technology is an important functionality in multimedia communication. Such wireless transmission considers various parameters of channel like reliability, quality of service (QoS), transmission rate, transmission delay etc. User datagram protocol (UDP) is a fast transmission protocol used by most of the real-time applications as it is suitable for delay sensitive applications like video and audio transmission. UDP does not provide flow control or error recovery and does not require connection management. Since more applications with real-time constraints are introduced day by day, both over wired and over wireless, some improvements should be made in order to obtain better end to end performance. This paper surveys the literature on real time communication over wireless and suggests an intermediate solution providing more reliability in transmission using adaptive error control mechanism. The idea used is to inject an adaptive amount of redundant packets (RPs) in every sent block (or datagram) in order to achieve a desired recovery rate at the receiver without using any retransmission mechanism. The technique used is called adaptive forward error control (AFEC) and is implemented at physical layer. The network simulator NS-2 is used to evaluate AFEC and the simulation results indicate that the suggested methods can guarantee enhanced network throughput for video transmission in the high packet loss wireless network.

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Section: Fig 2 Protocol Encapsulationmentioning

confidence: 99%

Section: Adaptive Forward Error Correction (Afec)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Enhanced Network Throughput of Wireless Network for Digital Video Transmission

S.M¹,

R.G²,

S.P³

et al. 2013

IJWMN

View full text Add to dashboard Cite

show abstract

“…Video compression became an important area of research in the late 1980's and 1990's and enabled a variety of applications including video storage on DVD's and Video-CD's, video broadcast over digital cable, satellite and terrestrial (over-theair) digital television (DTV), and video conferencing and videophone over circuit-switched networks. The growth and popularity of the Internet in the mid-1990's motivated video communication over best-effort packet networks [1][2] [3]. It is complicated by a number of factors including unknown and time -varying bandwidth, delay, and losses, as well as many additional issues such as how to fairly share the network resources amongst many flows and how to efficiently perform one-to-many communication for popular content.…”

Section: Introductionmentioning

confidence: 99%

Video Transmission over an Enhancement Approach Of IEEE802.11e

Khalifa¹,

Ahmed²

2015

IJCATR

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Multimedia Video transmission is over Wireless Local Area Networks is expected to be an important component of many emerging multimedia applications. However, Wireless networks will always be bandwidth limited compared to fixed networks due to background noise, limited frequency spectrum, and varying degrees of network coverage and signal strength One of the critical issues for multimedia applications is to ensure that the Quality of Service (QoS) requirement to be maintained at an acceptable level. Modern mobile devices are equipped with multiple network interfaces, including 3G/LTE WiFi. Bandwidth aggregation over LTE and WiFi links offers an attractive opportunity of supporting bandwidth-intensive services, such as high-quality video streaming, on mobile devices. Achieving effective bandwidth aggregation in wireless environments raises several challenges related to deployment, link heterogeneity, Network congestion, network fluctuation, and energy consumption. In this work, an overview of schemes for video transmission over wireless networks is presented where an acceptable quality of service (QoS) for video applications required realtime video transmission is achieved.

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Clustering‐Based Resource Allocation mechanism in Long Term Evolution Advanced networks with auto‐encoder for feature learning

Santos¹

2019

Trans Emerging Tel Tech

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Clustering‐Based Resource Allocation (CBRA) is a relatively recent approach applied in some communication network technologies that executes resource allocation rules by following patterns discovered in the user and traffic flow information. It is a useful option for classifying traffic and detecting the most suitable Quality‐of‐Service parameters to perform improved resource allocation, especially in mobile systems such as Long Term Evolution Advanced, which are growing in user demand. An open issue in the CBRA approach is the necessity to perform feature engineering manually (feature selection), which may cause loss of relevant system information and consequent deterioration of performance. In this research article, we present a novel CBRA mechanism that implements an auto‐encoder to perform feature learning, thus avoiding feature selection. The auto‐encoder, deployed at the early stages of the CBRA mechanism, transforms the user and traffic flow data into a shortened representation, preventing the curse of dimensionality while capturing the nonlinear correlations of the data. The simulation results indicate better cluster formation and performance improvement for real‐time video applications using the proposed mechanism.

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A Survey on Video Transmission Using Wireless Technology

Cited by 5 publications

References 11 publications

Enhanced Network Throughput of Wireless Network for Digital Video Transmission

Enhanced Network Throughput of Wireless Network for Digital Video Transmission

Video Transmission over an Enhancement Approach Of IEEE802.11e

Clustering‐Based Resource Allocation mechanism in Long Term Evolution Advanced networks with auto‐encoder for feature learning

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