THE STUDY OF VEGETATION EFFECT ON WIRELESS STREAMING VIDEO FOR AGRICULTURAL MONITORING

2015 ◽  
Vol 76 (12) ◽  
Author(s):  
Mohd Fitri Ramli ◽  
Latifah Munirah Kamarudin ◽  
David Lorater Ndzi ◽  
Azizi Harun ◽  
Jamie Siregar Cynthia Turner ◽  
...  
Keyword(s):  
Video Streaming ◽  
Video Quality ◽  
Wireless Channel ◽  
Streaming Video ◽  
Signal Quality ◽  
Environmental Condition ◽  
Video File ◽  
Negative Effect ◽  
Wireless Video Streaming ◽  
Vegetation Effect

This paper presents the study of video streaming over wireless channel based on experimental measurements in the presence of fading caused by the physical environmental. The emulation of video streaming file through wireless channel is measured using IxChariot software from Ixia. The obtained emulation of signal quality from the video streaming file was measured in terms of network throughput, RSSI and packet loss. The results show the credibility of wireless network for streaming video file in agricultural area. The statistical results show that there is significant negative effect of physical environmental condition on wireless video streaming and received video quality.

Adaptive Retransmission Scheme for Video Streaming Applications

2010 ◽  
pp. 248-262
Author(s):  
Árpád Huszák
Keyword(s):  
Video Streaming ◽  
Mobile Networks ◽  
Video Quality ◽  
Multimedia Applications ◽  
Limited Bandwidth ◽  
Streaming Applications ◽  
Congestion Control Algorithm ◽  
Negative Effect ◽  
Audio Video

In this chapter we present a novel selective retransmission scheme, based on congestion control algorithm. Our method is efficient in narrowband networks for multimedia applications, which demand higher bandwidth. Multimedia applications are becoming increasingly popular in IP networks, while in mobile networks the limited bandwidth and the higher error rate arise in spite of its popularity. These are restraining factors for mobile clients using multimedia applications such as video streaming. In some conditions the retransmission of lost and corrupted packets should increase the quality of the multimedia service, but these retransmissions should be enabled only if the network is not in congested state. Otherwise the retransmitted packet will intensify the congestion and it will have negative effect on the audio/video quality. Our proposed mechanism selectively retransmits the corrupted packets based on the actual video bit rate and the TCP-Friendly Rate Control (TFRC), which is integrated to the preferred DCCP transport protocol.

Impact of Wireless Channel Parameters on Quality of Video Streaming

1970 ◽  
Vol 108 (2) ◽  
pp. 27-30 ◽  
Author(s):  
S. Paulikas ◽  
P. Sargautis ◽  
V. Banevicius
Keyword(s):  
Video Streaming ◽  
Communication Systems ◽  
Video Quality ◽  
Human Perception ◽  
Wireless Channel ◽  
End User ◽  
Processing Power ◽  
Channel Parameters ◽  
Assess Quality

The problem of estimation of video quality obtained by end-user for mobile video streaming is addressed. Widely spreading mobile communication systems and increasing data transmission rates expand variety of multimedia services. One of such services is video streaming. So it is important to assess quality of this service. Consumers of video streaming are humans, and quality assessment must account human perception characteristics. Existing methods for user experienced video quality estimation as quality metrics usually usebit-error rate that has low correlation with by human perceived video quality. More advanced methods usually require too much processing power that cannot be obtained in handled mobile devices or intrusion into device firmware and/or hardware to obtain required data. However, recent research shows that channels throughput dedicated to some service (e.g. video streaming) can be tied to QoS perceived by an end-user indicator. This paper presents a research on impact of wireless channel parameters such as throughput and jitter on quality of video streaming. These wireless channel parameters can be easily obtained by monitoring IP level data streams in end-user’s device by fairly simple software agent for indication of video streaming QoS. Ill. 5, bibl. 10 (in English; abstracts in English and Lithuanian).http://dx.doi.org/10.5755/j01.eee.108.2.138

Source Coding Methods for Robust Wireless Video Streaming

2013 ◽  
pp. 175-207 ◽  
Author(s):  
Martin Fleury ◽  
Mohammad Altaf ◽  
Sandro Moiron ◽  
Nadia Qadri ◽  
Mohammed Ghanbari
Keyword(s):  
Video Streaming ◽  
Error Concealment ◽  
Hybrid Methods ◽  
Source Coding ◽  
Error Resilience ◽  
Wireless Channel ◽  
Communication Overhead ◽  
Additional Protection ◽  
Wireless Video Streaming ◽  
Advanced Video Coding

As real-time video streaming moves to the mobile Internet, there is a greater need to protect fragile compressed bit-streams from the impact of lossy wireless channels. Though forward error correction (FEC) has a role, if it is applied without adaptation, it may introduce excessive communication overhead. Alternatively, error resilience methods provide additional protection at the application layer of the protocol stack, without replication of any protection already provided at the data-like layer. In this chapter, a case study shows that these resilience methods can be applied adaptively through stream switching according to channel conditions. Error resilience can work hand-in-hand with error concealment, again applied through source coding. There are many error resilience and concealment methods, which this chapter surveys at a tutorial level. The chapter also includes an overview of video streaming for those unfamiliar with the topic. Though error concealment is a non-normative feature of the H.264/AVC (Advanced Video Coding) codec standard, there is a range of new techniques that have been included within the Standard such as flexible macroblock ordering and stream switching frames. The chapter additionally reviews error concealment provision, including spatial, temporal, and hybrid methods. Results show that there are tradeoffs between the level of protection and the level of overhead, according to the severity of the wireless channel impairment.

scholarly journals Pemodelan dan Simulasi Video Streaming pada Jaringan 802.11a dan 802.11b dengan Menggunakan Network Simulator 2 (NS2)

2013 ◽  
Vol 1 (3) ◽  
Author(s):  
Dedi Hari Saputra ◽  
Helmy Fitriawan ◽  
Herlinawati -
Keyword(s):  
Video Streaming ◽  
Network Performance ◽  
System Modeling ◽  
Streaming Video ◽  
Network Simulator ◽  
Ieee 802.11B ◽  
Ieee 802.11A ◽  
Quality Video ◽  
Wireless Video Streaming

Streaming video merupakan sebuah teknologi yang mampu mengirim file audio dan video dari sebuah server melalui suatu jaringan dalam ukuran yang lebih kecil. Efisiensi dan manajemen dalam penggunaan jaringan wireless menjadi hal yang penting dalam membangun suatu jaringan streaming video. Besarnya bandwith, serta kecepatan pengiriman data pada wireless yang akan digunakan dalam streaming video akan mempengaruhi kualitas hasil streaming video. Penelitian dilakukan menggunakan perangkat lunak Network Simulator versi 2 (NS2) dengan menggunakan cygwin agar dapat berjalan pada sistem operasi Windows. Pemodelan dan simulasi didasarkan pada parameter spesifikasi wireless cisco aironet 1130AG dan mengacu kepada standar IEEE 802.11a dan IEEE 802.11b. Kinerja jaringan pada streaming video menggunakan protokol IEEE 802.11a dan 802.11b dengan melakukan beberapa variasi keadaan dan membandingkan kualitas kedua protokol. Hasil menunjukan bahwa pada protokol 802.11a menghasilkan kualitas yang lebih baik dalam penanganan layanan streaming video dibandingkan protokol 802.11b. Pada simulasi protokol 802.11a memberikan tingkat performansi nilai delay, paket loss, yang lebih kecil dibandingkan dengan simulasi menggunakan protokol 802.11b. Kata kunci--- Streaming video, IEEE 802.11a, IEEE 802.11b, Network Simulator, Pemodelan dan Simulasi. Video streaming is a technology that is capable of sending audio and video files from a server via a network in a smaller size. Efficiency in the use and management of wireless networks have become important factors in building a network of streaming video. The amount of bandwidth, as well as the speed of data transmission in wireless video streaming will be used in will affect the quality of streaming video. The study was conducted using the software Network Simulator version 2 (NS2) using cygwin to run on the Windows operating system. Modeling and simulation based on the parameters of the Cisco Aironet 1130AG wireless specifications and adhere to standards IEEE 802.11a and IEEE 802.11b. Network performance on streaming video using the IEEE 802.11a and 802.11b protocol by doing some variation of circumstances and compare the quality of the two protocols. The results showed that the 802.11a protocol produces better quality video streaming services in handling than the 802.11b protocol. In the 802.11a protocol simulations provide the level of performance value delay, packet loss, which is smaller than the simulation using the 802.11b protocol. Keywords--- Streaming video, IEEE 802.11a, IEEE 802.11b, Network Simulator, Pemodelan dan Simulasi.

VidCloud

2021 ◽  
Vol 5 (4) ◽  
pp. 1-32
Author(s):  
Abubakr O. Al-Abbasi ◽  
Vaneet Aggarwal
Keyword(s):  
Video Streaming ◽  
Distributed Storage ◽  
Convex Combination ◽  
Video Quality ◽  
Moment Generating Function ◽  
Content Delivery Network ◽  
Two Stage ◽  
Erasure Code ◽  
Probabilistic Scheduling ◽  
Parallel Streams

As video-streaming services have expanded and improved, cloud-based video has evolved into a necessary feature of any successful business for reaching internal and external audiences. In this article, video streaming over distributed storage is considered where the video segments are encoded using an erasure code for better reliability. We consider a representative system architecture for a realistic (typical) content delivery network (CDN). Given multiple parallel streams/link between each server and the edge router, we need to determine, for each client request, the subset of servers to stream the video, as well as one of the parallel streams from each chosen server. To have this scheduling, this article proposes a two-stage probabilistic scheduling. The selection of video quality is also chosen with a certain probability distribution that is optimized in our algorithm. With these parameters, the playback time of video segments is determined by characterizing the download time of each coded chunk for each video segment. Using the playback times, a bound on the moment generating function of the stall duration is used to bound the mean stall duration. Based on this, we formulate an optimization problem to jointly optimize the convex combination of mean stall duration and average video quality for all requests, where the two-stage probabilistic scheduling, video quality selection, bandwidth split among parallel streams, and auxiliary bound parameters can be chosen. This non-convex problem is solved using an efficient iterative algorithm. Based on the offline version of our proposed algorithm, an online policy is developed where servers selection, quality, bandwidth split, and parallel streams are selected in an online manner. Experimental results show significant improvement in QoE metrics for cloud-based video as compared to the considered baselines.

scholarly journals Robust Video Communication over an Urban VANET

2010 ◽  
Vol 6 (3) ◽  
pp. 259-280 ◽  
Author(s):  
N. Qadri ◽  
M. Altaf ◽  
M. Fleury ◽  
M. Ghanbari
Keyword(s):  
Video Streaming ◽  
Ad Hoc ◽  
Source Coding ◽  
Video Quality ◽  
Video Communication ◽  
Network Resource ◽  
Multiple Path ◽  
Quality Video ◽  
Considerable Benefit ◽  
Redundancy Coding

Video communication within a Vehicular Ad Hoc Network (VANET) has the potential to be of considerable benefit in an urban emergency, as it allows emergency vehicles approaching the scene to better understand the nature of the emergency. However, the lack of centralized routing and network resource management within a VANET is an impediment to video streaming. To overcome these problems the paper pioneers source-coding techniques for VANET video streaming. The paper firstly investigates two practical multiple-path schemes, Video Redundancy Coding (VRC) and the H.264/AVC codec's redundant frames. The VRC scheme is reinforced by gradual decoder refresh to improve the delivered video quality. Evaluation shows that multiple-path 'redundant frames' achieves acceptable video quality at some destinations, whereas VRC is insufficient. The paper also demonstrates a third source coding scheme, single-path streaming with Flexible Macroblock Ordering, which is also capable of delivery of reasonable quality video. Therefore, video communication between vehicles is indeed shown to be feasible in an urban emergency if the suitable source coding techniques are selected.

scholarly journals Improving Perceived Quality of Live Adaptative Video Streaming

Entropy ◽  
2021 ◽  
Vol 23 (8) ◽  
pp. 948
Author(s):  
Carlos Eduardo Maffini Santos ◽  
Carlos Alexandre Gouvea da Silva ◽  
Carlos Marcelo Pedroso
Keyword(s):  
Video Streaming ◽  
Short Term Memory ◽  
Transmission Rate ◽  
Video Quality ◽  
Video On Demand ◽  
Live Streaming ◽  
Network Congestion ◽  
Congested Networks ◽  
Over The Top

Quality of service (QoS) requirements for live streaming are most required for video-on-demand (VoD), where they are more sensitive to variations in delay, jitter, and packet loss. Dynamic Adaptive Streaming over HTTP (DASH) is the most popular technology for live streaming and VoD, where it has been massively deployed on the Internet. DASH is an over-the-top application using unmanaged networks to distribute content with the best possible quality. Widely, it uses large reception buffers in order to keep a seamless playback for VoD applications. However, the use of large buffers in live streaming services is not allowed because of the induced delay. Hence, network congestion caused by insufficient queues could decrease the user-perceived video quality. Active Queue Management (AQM) arises as an alternative to control the congestion in a router’s queue, pressing the TCP traffic sources to reduce their transmission rate when it detects incipient congestion. As a consequence, the DASH client tends to decrease the quality of the streamed video. In this article, we evaluate the performance of recent AQM strategies for real-time adaptive video streaming and propose a new AQM algorithm using Long Short-Term Memory (LSTM) neural networks to improve the user-perceived video quality. The LSTM forecast the trend of queue delay to allow earlier packet discard in order to avoid the network congestion. The results show that the proposed method outperforms the competing AQM algorithms, mainly in scenarios where there are congested networks.

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