An efficient message broadcasting MAC protocol for VANETs

Lin, Zhiping; Sun, Yanglong; Tang, Yuliang; Liu, Zhaohui

doi:10.1007/s11276-020-02415-y

Cited by 7 publications

(5 citation statements)

References 30 publications

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“…CMs have the option of joining the new leadership, joining another cluster, or forming their own. In a cluster-based TDMA MAC protocol [33], the duty of the CH is to assign a slide of time to the CMs. Meanwhile, the authors have only looked at cluster stability and have yet to incorporate the dynamic slot allocation approach into a clustering mechanism to reduce the rate of merging collisions.…”

Section: Existing Work On Merging Collisionsmentioning

confidence: 99%

A Reliable Merging Link Scheme Using Weighted Markov Chain Model in Vehicular Ad Hoc Networks

Emmanuel

Isnin

Mohamad

2022

Sensors

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The vehicular ad hoc network (VANET) is a potential technology for intelligent transportation systems (ITS) that aims to improve safety by allowing vehicles to communicate quickly and reliably. The rates of merging collision and hidden terminal problems, as well as the problems of picking the best match cluster head (CH) in a merged cluster, may emerge when two or more clusters are merged in the design of a clustering and cluster management scheme. In this paper, we propose an enhanced cluster-based multi-access channel protocol (ECMA) for high-throughput and effective access channel transmissions while minimizing access delay and preventing collisions during cluster merging. We devised an aperiodic and acceptable merge cluster head selection (MCHS) algorithm for selecting the optimal merge cluster head (MCH) in centralized clusters where all nodes are one-hop nodes during the merging window. We also applied a weighted Markov chain mathematical model to improve accuracy while lowering ECMA channel data access transmission delay during the cluster merger window. We presented extensive simulation data to demonstrate the superiority of the suggested approach over existing state-of-the-arts. The implementation of a MCHS algorithm and a weight chain Markov model reveal that ECMA is distinct and more efficient by 64.20–69.49% in terms of average network throughput, end-to-end delay, and access transmission probability.

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Section: Existing Work On Merging Collisionsmentioning

confidence: 99%

A Reliable Merging Link Scheme Using Weighted Markov Chain Model in Vehicular Ad Hoc Networks

Emmanuel

Isnin

Mohamad

2022

Sensors

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“…This led to an equal broadcasting rate for the neighboring vehicles. Some studies argue that the use of an equal broadcasting rate is inefficient and ineffective for VANET because, for safety reasons, emergency vehicles need a higher broadcasting rate compared to a vehicle with stable and predictable mobility movement [2,3,[42][43][44]. In this study, the broadcasting scheme proposed by [44] was used due to the consideration of the driving situations of each vehicle in the broadcasting decision.…”

Section: A Data Collection Phasementioning

confidence: 99%

“…The Vehicular Ad Hoc Network (VANET) has been established to enhance traffic safety and efficiency while providing passenger comfort. VANET is typically expected to be the main component of future Intelligent Transportation Systems [3]. Many VANET applications have been designed and analyzed, including cooperative active safety systems (CASS) [4], cooperative collision warning (CCWS) [5], and driver assistance systems (ADAS) [6].…”

Section: Introductionmentioning

confidence: 99%

An Improved Robust Misbehavior Detection Scheme for Vehicular Ad Hoc Network

et al. 2022

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Vehicular Ad Hoc Networks (VANETs) have emerged to improve road safety and traffic efficiency and provide passengers comfort. Most VANET applications rely on the cooperation among vehicles sharing their sensed information. However, misbehaving vehicles which send false information can disrupt the VANETs potential. Although many solutions have been proposed to defend against misbehaving vehicles in VANET, most of these solutions relays on honest majority assumptions and are thus vulnerable to collusion attacks. Colluding vehicles send fake information, and because detection depends on cooperation, such information misleads benign vehicles to make an accurate decision. This study proposes an improved Robust Misbehavior Detection Scheme (iRMDS) by replacing the statistics-based detection threshold, which assumes an honest majority, with a machine learning-based classifier. A Neuro-Kalman-Based Robust Misbehavior detection scheme is proposed in three phases. In the first phase, attackers-Independent features are extracted from signal properties such as the receive signal strength and signal direction and have been integrated with context information features. In the second phase, the Kalman filter algorithm has been designed to extract consistent patterns of context information for each vehicle. That is, the innovation errors of the Kalman filter have been utilized as the input features to train the misbehavior detection model. In the third phase, the artificial neural network algorithm is integrated with the outputs of the Kalman Filter algorithm to recognize the malicious pattern. Results show that the overall performance of the proposed iRMDS solution achieves a 3.44% improvement compared to the related work. Such enhancement is promising in realizing reliable VANET applications to improve road safety, traffic efficiency, and passenger comfort.

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“…In ITS, Road Side Units (RSUs) are available for data communication that includes hardware and software equipment (5)(6)(7) . It comprises Global Navigation Satellite System (GNSS) receiver, WiMAX, Long Term Evolution (LTE) and so on.…”

Section: Introductionmentioning

confidence: 99%

Reliable path identifying protocol in VANET

Iswarya¹,

Radha²

2021

IJST

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Objective: The objective of this work is to enhance Adhoc On-demand Distance Vector (AODV) routing protocol for better communication through reliable routing scheme. Methods: In this paper, a reliable path selection algorithm is proposed to find the Most Reliable Path (MRP) between the source and destination vehicles. Reliable Path Ad-hoc On demand Distance Vector (RP-AODV) is proposed for efficient route discovery in Vehicular Ad-hoc Network (VANET). The algorithm divide network into manageable group and it maintains Cluster Member (CM) updates handling, Cluster Head (CH) re-selection, Cluster merging. The efficient routing decisions would lead to better communication in VANET. It is made by assigning dynamic and static information appropriately to the variables in process. The dataset used is both static and dynamic which is efficient in when compared with existing protocols. Findings: The finding of most reliable path in the network of VANET is carried out by the proposed reliable path selection algorithm. The algorithm divides the network as various parts that comprise the information of clustering. The clustering is the mechanism of grouping of nodes into clusters. Clusters possess members and head. The cluster head would be the point of initiation of communication and any node can be re-selected as cluster head. The members of clusters would be updated as per changes in clustering mechanism. The uniqueness of the proposed algorithm revealed through easy identification of vehicles to form a cluster, cluster members maintenance, and fast data communication over the network. The proposed RPAODV adds the extra fields for RouteREQuest (RREQ) and RouteREPly (RREP) messages (CH and CM information). It also works out for static and dynamic topology in good manner by the implementation of modified AODV algorithm. The scalability is also taken care by enhancing topology variant. The performance of the algorithm is measured and analyzed with the existing protocols and posted in graphs. Novelty: The simulation results show that the proposed work outperforms 60% than the existing schemes works Cluster-based VANET-oriented Evolving Graph( CVoEG), Leapfrog-Anti-Colony Optimization(LP-ACO) in terms of route reliability (0.11s high), packet delivery ratio (20% high), end to end delay (0.

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An efficient message broadcasting MAC protocol for VANETs

Cited by 7 publications

References 30 publications

A Reliable Merging Link Scheme Using Weighted Markov Chain Model in Vehicular Ad Hoc Networks

A Reliable Merging Link Scheme Using Weighted Markov Chain Model in Vehicular Ad Hoc Networks

An Improved Robust Misbehavior Detection Scheme for Vehicular Ad Hoc Network

Reliable path identifying protocol in VANET

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