An Unsupervised Cluster-Based VANET-Oriented Evolving Graph (CVoEG) Model and Associated Reliable Routing Scheme

Khan, Zahid; Fang, Sangsha; Abbas, Fakhar

doi:10.1109/tits.2019.2904953

Cited by 74 publications

(68 citation statements)

References 41 publications

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“…In the simulation environment, the total number of vehicles is 5000 separating in Baghdad city. CRDS is compared with LRCA [26] and CVoEG [33] in various simulation scenarios with several numbers of parked and stopped vehicles and speeds. LRCA and CVoEG were explained in the related works section of this paper.…”

Section: -Simulation and Resultsmentioning

confidence: 99%

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Parked Vehicles as Cluster Heads and Gateways for Efficient Routing in VANET

Kadhim¹

2021

Preprint

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Vehicular Ad hoc Network (VANET) refers to wireless connection of a large number of moving and stopped cars to transfer some knowledge about some events (e.g. accident, traffic jam, weather condition, etc.) to the passengers and drivers. The mobility of vehicles in unexpected directions destroys the network links and decreases the stability of the route between vehicles. This problem leads to repeat the routing discovery and maintenance operations and as a result increases the overhead and delay. Several classes of routing polices were proposed such as flat, hierarchical, cluster based, etc. Moreover, in the cluster based routing protocols, number of cluster head selection and cluster formation schemes have been suggested. Unfortunately, the stability of cluster heads and links was not satisfied. This paper aims to solve this problem by producing a new clustering formation technique. This technique selects the parked and stopped vehicles to work as cluster heads and gateway nodes with high stability. Moreover, a new cluster based routing protocol to build optimal paths with maximum stability and minimum delay called CRSD depending on optimization model is suggested. Several simulation scenarios with various mobility speeds and numbers of stopped and parked vehicles showed that CRDS is better than link reliability-based clustering approach (LRCA) and cluster-based VANET oriented evolving graph (CVoEG) according to network overhead, average end to end delay, path stability, and packet delivery ratio.

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Section: -Simulation and Resultsmentioning

confidence: 99%

“…For maintenance of the cluster, the authors produced a merging strategy to increase the robustness and reliability of the cluster. Z. Khan et al [33] proposed a new graph model named CVoEG model to enhance the communication reliability. It selects the cluster heads and members depending on the degree of link reliability.…”

Section: -Related Workmentioning

confidence: 99%

Parked Vehicles as Cluster Heads and Gateways for Efficient Routing in VANET

Kadhim¹

2021

Preprint

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“…In clustering-based protocols, the idea is to introduce a hierarchy to handle manageable amounts of control messages, by arranging the moving vehicles in groups (typically, on the grounds of geographical proximity and relative movement) and designating one of them as the cluster head to channel the communications with the neighboring groups. An interesting analysis of approaches to form clusters was presented in [36], while the work in [37] enumerated parameters relevant for the selection of the cluster heads. New combinations of approaches for both tasks keep appearing, achieving significant performance improvements in simulation experiments [38].…”

Section: Routing Protocols In Vanetsmentioning

confidence: 99%

VaNetChain: A Framework for Trustworthy Exchanges of Information in VANETs Based on Blockchain and a Virtualization Layer

et al. 2020

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Vehicular ad hoc networks (VANETs) face challenges related to the reliability of the data exchanged and the unstability of the communication links. These shortcomings have hampered the development of the long-awaited applications that would turn roads into a smart environment. We present a framework to deploy such services, in which a virtualization layer ensures means to efficiently deliver messages between vehicles and roadside units (RSUs) and, on top of that, blockchain technology is used to enable features of data integrity, traceability, and reliability that cannot be furnished by existing consensus and reputation mechanisms. A simulation experiment is included to determine the optimal number of RSUs to be installed as supporting infrastructure in a city.

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“…In recent studies, many efforts have been made to solve the performance degradation problem in mobile and high-density scenarios. These studies include vehicular routing protocols [4], broadcasting protocols [5], an integration of different wireless spectrums [6], and clustering [7]. Recent studies on the temporal challenges include the prediction of vehicular communication channel [8], and online adaptive routing protocols [9].…”

Section: Introductionmentioning

confidence: 99%

Edge-Based V2X Communications With Big Data Intelligence

Guleng

Liu

et al. 2020

IEEE Access

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Vehicular Internet-of-Things applications require an efficient Vehicle-to-Everything (V2X) communication scheme. However, it is particularly challenging to achieve a high throughput and low latency with limited wireless resources in highly dynamic vehicular networks. In this article, we propose a scheme that enhances V2V communications through integration of vehicle edge-based forwarding and learning-based edge selection policy optimization. The proposed scheme has three main characteristics. First, the Hierarchical edge-based preemptive route creation is introduced to create hierarchical edges and conduct efficient packet forwarding as well as route aggregation. Second, Two-stage learning is introduced to select efficient edge nodes using big data driven traffic prediction and reinforcement learning-based edge node selection. Third, Context-aware edge selection is employed to improve the performance of edge-based forwarding in various contexts. We use real traffic big data and realistic vehicular network simulations to evaluate the performance of the proposed scheme and show the advantage over other baseline approaches. INDEX TERMS Edge computing, traffic big data, vehicular ad hoc networks, V2X communications.

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An Unsupervised Cluster-Based VANET-Oriented Evolving Graph (CVoEG) Model and Associated Reliable Routing Scheme

Cited by 74 publications

References 41 publications

Parked Vehicles as Cluster Heads and Gateways for Efficient Routing in VANET

Parked Vehicles as Cluster Heads and Gateways for Efficient Routing in VANET

VaNetChain: A Framework for Trustworthy Exchanges of Information in VANETs Based on Blockchain and a Virtualization Layer

Edge-Based V2X Communications With Big Data Intelligence

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