Quality of Service of Video Streaming in Vehicular Adhoc Networks: Performance Analysis

Phakathi, Thulani; Lugayizi, Francis; Isong, Bassey; Gasela, Naison

doi:10.1109/csci.2016.0172

Cited by 8 publications

(5 citation statements)

References 15 publications

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“…Guaranteeing QoS for the numerous types of data is an important goal in network [1,[30][31][32]. Recently, researches are focusing on dynamic QoS mechanism as different data types require different QoS requirements [33,34]. A multi-path routing protocol is proposed which can make different data choose different routing mechanisms but it is not suitable for real-time applications [35].…”

Section: Qos Provisioning Methodsmentioning

confidence: 99%

Software‐defined dynamic QoS provisioning for smart metering in energy Internet using fog computing and network calculus

Huang

Liu

et al. 2018

IET cyber-phys. syst.

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Section: Qos Provisioning Methodsmentioning

confidence: 99%

Software‐defined dynamic QoS provisioning for smart metering in energy Internet using fog computing and network calculus

Huang

Liu

et al. 2018

IET cyber-phys. syst.

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“…If appropriate routing protocols (RPs) are utilised, a higher QoS in video applications may be possible. In this research, four routing protocols for VANETs were compared and examined [27]. Finding an effective RP that can provide improved QoS for video streaming applications while minimising the number of nodes required was the goal.…”

Section: Related Workmentioning

confidence: 99%

An Advanced Efficient Video Streaming Framework for Vehicular Adhoc Networks Using VANET Streaming Protocol

Tamizhselvi¹,

Yoganathan

2022

Preprint

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Vehicular Adhoc Network (VANET) is a distinct kind of Mobile Adhoc Network (MANET) that imparts different services that include the safety of the driver, commercials, and also entertainment. Due to the dynamic topology and other unique characteristics of VANETs, it is onerous to fabricate a paradigm or conclude the different parameters with which the QoE can be calculated. Moreover, the type of data shared between the neighboring vehicle plays an essential role in evaluating the system‘s performance. Furthermore, the current protocols are not suitable for streaming emergency-related content in VANETs. In the proposed protocol, Real-Time VANET Streaming Protocol (RTVSP), no modifications are made to the other layers, the one used for playing back the videos, such as H.264 or the physical wireless standards such as WiFi or Bluetooth. The protocol aims at a proactive approach in order to drastically reduce the packet sizes and avoid the need for an addressing mechanism that acts as an overhead, thereby increasing the transmission speed. Moreover, our protocol also suggests the mechanism to overcome packet losses and improve the quality of experience between the users. Network Visualizer that is explicitly used for simulating wireless network communication, is used to determine the performance of the protocol in multiple scenarios. The users in the network region can set the quality level of the required video segments according to their own preferences for the effective support of video streaming in a wireless network built by a variety of clients. To prevent latency, the server should start streaming in a low resolution when the user requests that it send a packet. These studies show improved results for video streaming system factors including latency, Delay parameter, Loss Parameter, packet miss, and Equal Weight Aggregate. The results of the simulation intimate that RTVSP outperforms the existing video streaming protocols that utilize the same H.264 video system in transmission speed and to provide the latency for the video streaming protocol.

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“…VANETs inherit the main characteristics of Mobile Ad Hoc Networks (MANETs), in which the vehicles play the role of mobile nodes supplied with wireless communications [8]. Many applications are designed for safety and non-safety purposes, and one of these applications is the video streaming, which is now the focus of research community attention because it enriches the drivers and passengers with valuable information in comparison with textual messages [9]- [11]. Many challenges face video streaming service, which is considered highly-bandwidth-demanded like network congestion and the highly dynamic topology of VANETs.…”

Section: The Communication Entities Road Side Unit (Rsu) Andmentioning

confidence: 99%

A New Clustering Algorithm for Live Road Surveillance on Highways based on DBSCAN and Fuzzy Logic

Alabbas¹,

Huszák²

2020

IJACSA

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Video streaming over Vehicular Ad Hoc Networks is a promising technique (VANETs), and it has gained great importance in the last few years. The highly dynamic topology of VANETs makes high-quality video streaming very challenging. In order to provide the most useful camera views to the vehicles, clustering and cluster head selection techniques are used. Too frequent camera view changes can be annoying; therefore, we propose a new stable clustering algorithm to ensure a stable live road surveillance service without interruptions for vehicles that do not have enough vision area. In the proposed solution, we integrated Density-Based Spatial Clustering of Applications with Noise (DBSCAN) with Fuzzy Logic Control (FLC). DBSCAN is used to form the clusters, while FLC is used to find the best cluster head for the cluster. Different parameters are utilized like density parameters for DBSCAN, and relative speed, acceleration, leadership degree and vision area for fuzzy logic. Our proposed algorithm showed better results in terms of cluster lifetime and vehicle status change. Our proposed algorithm has been compared with another clustering scheme to prove the effectiveness of our proposed algorithm.

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Quality of Service of Video Streaming in Vehicular Adhoc Networks: Performance Analysis

Cited by 8 publications

References 15 publications

Software‐defined dynamic QoS provisioning for smart metering in energy Internet using fog computing and network calculus

Software‐defined dynamic QoS provisioning for smart metering in energy Internet using fog computing and network calculus

An Advanced Efficient Video Streaming Framework for Vehicular Adhoc Networks Using VANET Streaming Protocol

A New Clustering Algorithm for Live Road Surveillance on Highways based on DBSCAN and Fuzzy Logic

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