Enhancing Quality-of-Service Conditions Using a Cross-Layer Paradigm for Ad-Hoc Vehicular Communication

Rehman, Sabih ur; Khan, M. Arif; Imran, Muhammad; Zia, Tanveer; Iftikhar, Mohsin

doi:10.1109/access.2017.2717501

Cited by 12 publications

(2 citation statements)

References 31 publications

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“…The previous solutions were based on the single layers of a particular stack. Therefore, in this research a cross layered decision based routing was assisted which selected the best path for the delivery of the packets to meet the needs of QoS [8] [9]. The present protocol gathered the information about the channel rate specifically in the decision making procedure.…”

Section: Qos Related Surveymentioning

confidence: 99%

Enhanced Vehicular AD HOC Network Protocol to Improve Quality of Service in Vehicle to Vehicle Communication

2019

IJITEE

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The vehicular ad-hoc networks (VANETs) are specific type or a sub form of Mobile ad hoc networks (MANETs). However the main problem which is related to this network is the Quality of Service (QoS) which mainly occurs due to rapid change topology nature in the network and lack of stability of communication. Consequently, some of the challenges that researcher focus on routing protocols for VANET. The problem which is faced by this network with these protocols is the dynamic environment in their route instability. This paper approaches the combination of Dynamic Source Routing protocol (DSR) and Particle Swarm Optimization Algorithm (PSO) to solve the problems of Routing protocols which help to improve the Quality of service (QoS) in the network. The approach which is introduced in this paper is to make use for making the better Quality of Service (QoS) in the VANET. The simulation results in MATLAB exactly predict the overall performances regarding the proposed work in terms of the packet drop ratio, transmission delay, channel utilization, Throughput and Energy consumption under varying conditions

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Section: Qos Related Surveymentioning

confidence: 99%

Enhanced Vehicular AD HOC Network Protocol to Improve Quality of Service in Vehicle to Vehicle Communication

2019

IJITEE

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“…MARV makes three key contributions. First, MARV searches for high throughput paths using an on-demand routing searching algorithm so that the routing is more effective compared to other multirate-aware schemes, which are based on proactive routing [16,18,19]. Here, MARV searches for multiple high-throughput paths while limiting the control overhead.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Multi-Path Routing Protocol in Autonomous Vehicular Networks

Yoo

2023

Mathematics

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Vehicular ad hoc networks consist of self-organizing nodes using multi-hop wireless links for communication without any infrastructure support. Traditionally, ad hoc routing protocols use the minimum hop count for their routing metric since a smaller number of transmissions is typically equivalent to a higher throughput, lower delay, and minimal power consumption. However, with the muti-rate capability of emerging radio interfaces, e.g., 802.11ax/be standards, the min-hop metric no longer results in high throughput. For instance, if the higher data rate links are selected for the route, it could result in a higher throughput even if the route takes more hop counts. In this paper, we propose a high throughput routing scheme, called MARV, which makes two key contributions. MARV searches for high throughput paths using an on-demand route searching algorithm so that the routing overhead is smaller compared to other multi-rate-aware routing schemes. MARV also searches for multiple paths to maintain both min-hop and high-throughput paths to select the adequate path depending on the data packet size. We conduct simulations to demonstrate that MARV outperforms not only min-hop path metrics but also previously proposed high-throughput metrics.

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A Survey of QoS-aware Routing Protocols for the MANET-WSN Convergence Scenarios in IoT Networks

Quy

Nam

Ban

et al. 2021

Wireless Pers Commun

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Enhancing Quality-of-Service Conditions Using a Cross-Layer Paradigm for Ad-Hoc Vehicular Communication

Cited by 12 publications

References 31 publications

Enhanced Vehicular AD HOC Network Protocol to Improve Quality of Service in Vehicle to Vehicle Communication

Enhanced Vehicular AD HOC Network Protocol to Improve Quality of Service in Vehicle to Vehicle Communication

Adaptive Multi-Path Routing Protocol in Autonomous Vehicular Networks

A Survey of QoS-aware Routing Protocols for the MANET-WSN Convergence Scenarios in IoT Networks

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