Real-time massage differentiation with priority data service flows in VANET

Mu’azu, Abubakar Aminu; Tang, Low Jung; Hasbullah, Halabi; Lawal, Ibrahim A.; Shah, Peer Azmat

doi:10.1109/iccoins.2014.6868387

Cited by 13 publications

(3 citation statements)

References 12 publications

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“…As indicated in Table 3, VANET applications can be divided into two classes of applications: real-time and non real-time, with each, with its own set of QoS requirements. Real-time applications are very sensitive to the end-to-end delay, jitter, and to the stability of path (Mu'azu et al, 2014). In this case the traffic performance is directly affected by the delay and the variation of delays.…”

Section: Qos Traffic Classificationmentioning

confidence: 99%

An efficient fuzzy logic-based and bio-inspired QoS-compliant routing scheme for VANET

Fekair

Lakas

Korichi

et al. 2019

IJES

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Vehicular ad hoc networks (VANET) are gaining popularity for enabling a wide range of applications for road traffic safety, infotainment and road transportation management. For real-time applications to be successfully deployed in VANET, their quality of service (QoS) requirements need to be met. In this paper, we propose a QoS-based routing protocol named FBQoS-Vanet, which accommodates applications with QoS requirements. This protocol uses a bio-inspired artificial bee colony (ABC) approach for discovering routes complying with QoS criteria. We also use fuzzy logic to identify a feasible path among several available ones discovered by ABC. We rely on the evaluation of a composite fuzzy cost expressed in terms of QoS metrics, where the path must satisfy criteria such as: bandwidth, delay, jitter, and link expiry time. The performance results obtained show the benefits of using our scheme for routing various classes of traffic in VANET with different QoS requirements.

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Section: Qos Traffic Classificationmentioning

confidence: 99%

An efficient fuzzy logic-based and bio-inspired QoS-compliant routing scheme for VANET

Fekair

Lakas

Korichi

et al. 2019

IJES

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“…This requirement becomes particularly stringent in light of the advancements in autonomous driving technologies. Data packets that fail to meet the time constraints are discarded, leading to data loss [8]. In general, the vehicular networking domain follows the standardized framework established by the Society of Automotive Engineers (SAE) known as the J2735 standard [9].…”

Section: Introduction 1preliminariesmentioning

confidence: 99%

A Preemptive-Resume Priority MAC Protocol for Efficient BSM Transmission in UAV-Assisted VANETs

Li,

Han,

Guan

et al. 2024

Applied Sciences

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With the development and popularization of Intelligent Transportation Systems (ITS), Vehicle Ad-Hoc Networks (VANETs) have attracted extensive attention as a key technology. In order to achieve real-time monitoring, VANET technology enables vehicles to collect real-time traffic updates through information collection devices and transmit this information to Roadside Units (RSUs), which are processed and integrated by an information processing center. However, high vehicle density leads to a conflict between minimizing the interval for vehicles to send Basic Safety Messages (BSMs) to RSUs and the limited communication resources of VANETs. To address this issue, we propose a MAC protocol based on the 802.11 CSMA/CA mechanism with the Preemptive-Resume Priority scheme. The arbitration device provides preemptive service to data packets with higher priority levels, thereby reducing data transmission delay. Moreover, queuing theory is employed to calculate the total delay for vehicles to send BSMs to a drone receiver, minimizing the BSM transmission interval and achieving minimal delay to meet safety driving requirements. The effectiveness and superiority of this mechanism and algorithm are demonstrated through simulation experiments.

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“…Queues are assigned different transmission priorities according to the types of applications that the queues support. The existing QoS schemes providing DiffServ can be divided into four categories of algorithms: media access control schemes [3,4], scheduling schemes [5][6][7][8][9][10][11], routing schemes [12][13][14], and cross-layer control schemes [15][16][17]. However, in these works, after initial allocation, the priorities of the queues cannot be re-adjusted according to the real-time end-to-end situation.…”

Section: Introductionmentioning

confidence: 99%

A Cross-Layer Optimization QoS Scheme in Wireless Multimedia Sensor Networks

Fan

2019

Algorithms

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There are two main challenges in wireless multimedia sensors networks: energy constraints and providing DiffServ. In this paper, a joint flow control, routing, scheduling, and power control scheme based on a Lyapunov optimization framework is proposed to increase network lifetime and scheduling fairness. For an adaptive distribution of transmission opportunities, a differentiated queueing services (DQS) scheme is adopted for maintaining data queues. In the Lyapunov function, different types of queues are normalized for a unified dimension. To prolong network lifetime, control coefficients are designed according to the characteristics of the wireless sensor networks. The power control problem is proved to be a convex optimization problem and two optimal algorithms are discussed. Simulation results show that, compared with existing schemes, the proposed scheme can achieve a better trade-off between QoS performances and network lifetime. The simulation results also show that the scheme utilizing the distributed media access control scheme in scheduling performs best in the transmission of real-time services.

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Real-time massage differentiation with priority data service flows in VANET

Cited by 13 publications

References 12 publications

An efficient fuzzy logic-based and bio-inspired QoS-compliant routing scheme for VANET

An efficient fuzzy logic-based and bio-inspired QoS-compliant routing scheme for VANET

A Preemptive-Resume Priority MAC Protocol for Efficient BSM Transmission in UAV-Assisted VANETs

A Cross-Layer Optimization QoS Scheme in Wireless Multimedia Sensor Networks

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