Predictive Handoff Mechanism for Video Streaming in a Cloud-Based Urban Vanet

Smida, Emna Bouzid; Fantar, Sonia Gaied; Youssef, Habib

doi:10.1109/aiccsa.2017.190

Cited by 7 publications

(3 citation statements)

References 15 publications

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“…In [30], the Predictive Handover Mechanism for Video streaming in cloud-based urban VANET (PHMVV) method was proposed considering a list of alternative Points of Access (PoAs). The PHMVV takes into account parameters such as the velocity of the vehicle, its distance from each PoA, its moving direction, and the link quality of each PoA.…”

Section: Related Workmentioning

confidence: 99%

Handover Management in 5G Vehicular Networks

et al. 2022

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Fifth-Generation (5G) vehicular networks support novel services with increased Quality of Service (QoS) requirements. Vehicular users need to be continuously connected to networks that fulfil the constraints of their services. Thus, the implementation of optimal Handover (HO) mechanisms for 5G vehicular architectures is deemed necessary. This work describes a scheme for performing HOs in 5G vehicular networks using the functionalities of the Media-Independent Handover (MIH) and Fast Proxy Mobile IPv6 (FPMIP) standards. The scheme supports both predictive and reactive HO scenarios. A velocity and alternative network monitoring process prepares each vehicle for both HO cases. In the case of predictive HO, each time the satisfaction grade of the vehicular user drops below a predefined threshold, the HO is initiated. On the other hand, in the case of reactive HO, the vehicle loses the connectivity with its serving network and connects to the available network that has obtained the higher ranking from the network selection process. Furthermore, the HO implementation is based on an improved version of the FPMIPv6 protocol. For the evaluation of the described methodology, a 5G vehicular network architecture was simulated. In this architecture, multiple network access technologies coexist, while the experimental results showed that the proposed scheme outperformed existing HO methods.

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Section: Related Workmentioning

confidence: 99%

Handover Management in 5G Vehicular Networks

et al. 2022

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“…For VANETs, previous schemes need to minimize the delay of handoff and for fast handoff, existing schemes are purely based on context transfer. In the literature review [18], the main focus is on the quality of the video streaming which has been downloaded by the moving vehicle. Vehicles move from one road side unit (RSU) to another RSU during the process of video streaming.…”

Section: Literature Reviewmentioning

confidence: 99%

Smart Handoff Technique for Internet of Vehicles Communication using Dynamic Edge-Backup Node

et al. 2020

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A vehicular adhoc network (VANET) recently emerged in the the Internet of Vehicles (IoV); it involves the computational processing of moving vehicles. Nowadays, IoV has turned into an interesting field of research as vehicles can be equipped with processors, sensors, and communication devices. IoV gives rise to handoff, which involves changing the connection points during the online communication session. This presents a major challenge for which many standardized solutions are recommended. Although there are various proposed techniques and methods to support seamless handover procedure in IoV, there are still some open research issues, such as unavoidable packet loss rate and latency. On the other hand, the emerged concept of edge mobile computing has gained crucial attention by researchers that could help in reducing computational complexities and decreasing communication delay. Hence, this paper specifically studies the handoff challenges in cluster based handoff using new concept of dynamic edge-backup node. The outcomes are evaluated and contrasted with the network mobility method, our proposed technique, and other cluster-based technologies. The results show that coherence in communication during the handoff method can be upgraded, enhanced, and improved utilizing the proposed technique.

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“…In non-emergency times, various multimedia applications can be used and streaming mobile cars aimed to improve the quality of downloaded videos. During the streaming of the video stream, vehicle video [9] may be switched from one RSU to another, affecting cognitive quality. 5G Mobile Specification is expected to meet the additional requirements for extra delay and reliability and accommodate the proliferation of mobile information traffic, supporting a variety of high-speed applications and services.…”

Section: Related Workmentioning

confidence: 99%

Enhanced Role- Based Handover Control Algorithm for Efficient Multimedia Data Communication Performance in Vehicular Network

Ganesan¹,

Preethi²

2020

NPSC

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Designed by VANETS, it provides a framework for implementing a forward road traffic monitoring system to reduce traffic congestion. To improve VANET applications, users must provide VANETs safe and comfortable environmental performance, and the network must support the quality of Service (QoS). Delay and packet loss are the two main indicators of a significant increase in QoS due to network congestion. It focuses on the design and analysis of important properties of VANETS, flow control, and can be monitored by the techniques as mentioned earlier. However, some criteria are well defined if the vehicle or infrastructure is driving the handover. An effective handover strategy implies connectivity, continuity, reliability, and fast handover, ensuring improved service quality. It realizes the ability to use the Enhanced Role-Based Handover Control Algorithm (ERBHC) encryption method to provide the ability to watch video files in an authoritative cloud storage system. ERBHC implements a traffic monitoring system, congestion control, handover mechanism, and secure communication through advanced technology. At this point, traffic monitoring and congestion control are achieved by various sensors in VANETS. The mobile node with limited resources then triggers the vertical handover process. Optimized network selection and implementation of complex algorithms can result in power loss. It is not possible to provide a low power optimized network option by implementing a simple algorithm. Finally, ERBHC is more reliable in the car, leveraging the cloud network's privacy and secure communication infrastructure.

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Predictive Handoff Mechanism for Video Streaming in a Cloud-Based Urban Vanet

Cited by 7 publications

References 15 publications

Handover Management in 5G Vehicular Networks

Handover Management in 5G Vehicular Networks

Smart Handoff Technique for Internet of Vehicles Communication using Dynamic Edge-Backup Node

Enhanced Role- Based Handover Control Algorithm for Efficient Multimedia Data Communication Performance in Vehicular Network

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