Road State Novel Detection Approach in VANET Networks Based on Hadoop Ecosystem

Cherkaoui, Badreddine; Beni‐Hssane, Abderrahim; Fissaoui, Mohamed El; Erritali, Mohammed

doi:10.1007/s11277-019-06349-3

Cited by 6 publications

(2 citation statements)

References 15 publications

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“…The measurement-based congestion detection technique senses communication channels and measures parameters such as the number of messages in the queue, channel usage level, and channel occupancy time [36][37][38][39][40]. The congestion detection component measures the channel usage level periodically to detect any congestion situation.…”

Section: Measurement-based Congestion Detection Technique Eventdrivementioning

confidence: 99%

A survey on congestion detection and control in connected vehicles

2020

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The dynamic nature of vehicular ad hoc network (VANET) induced by frequent topology changes and node mobility, imposes critical challenges for vehicular communications. Aggravated by the high volume of information dissemination among vehicles over limited bandwidth, the topological dynamics of VANET causes congestion in the communication channel, which is the primary cause of problems such as message drop, delay, and degraded quality of service. To mitigate these problems, congestion detection, and control techniques are needed to be incorporated in a vehicular network. Congestion control approaches can be either open-loop or closed loop based on pre-congestion or post congestion strategies. We present a general architecture of vehicular communication in urban and highway environment as well as a state-of-the-art survey of recent congestion detection and control techniques. We also identify the drawbacks of existing approaches and classify them according to different hierarchical schemes. Through an extensive literature review, we recommend solution approaches and future directions for handling congestion in vehicular communications.

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Section: Measurement-based Congestion Detection Technique Eventdrivementioning

confidence: 99%

A survey on congestion detection and control in connected vehicles

2020

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“…The increase in the number of vehicles has increased the number of accidents exponentially, leading the way to multiple kinds of research regarding the possibility of video streaming in VANETs [23]. In VANETs, communication tends to happen between two different structures and based on the structures, and it is classi ed as Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) [5] as in Fig. 1.…”

Section: Introductionmentioning

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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