Stability Oriented Cluster Dynamism in VANET (SOCDV)

Sutagundar, Ashok V.; Hubballi, Pampapati; Belagali, Ravikant

doi:10.1109/csitss.2016.7779406

Cited by 10 publications

(8 citation statements)

References 10 publications

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“…Nodes in one cluster can communicate with each other and transmit messages to the CH in real time. For further analysis, we also implement the basic cluster formation mentioned in reference [11] for comparison. We choose the times of CH change per second as evaluation index for cluster stability and the number of isolated nodes as evaluation index for the cluster coverage.…”

Section: B Experimental Results 1) Cluster Formationmentioning

confidence: 99%

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A New Traffic Congestion Detection and Quantification Method Based on Comprehensive Fuzzy Assessment in VANET

2018

KSII TIIS

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Recently, road traffic congestion is becoming a serious urban phenomenon, leading to massive adverse impacts on the ecology and economy. Therefore, solving this problem has drawn public attention throughout the world. One new promising solution is to take full advantage of vehicular ad hoc networks (VANETs). In this study, we propose a new traffic congestion detection and quantification method based on vehicle clustering and fuzzy assessment in VANET environment. To enhance real-time performance, this method collects traffic information by vehicle clustering. The average speed, road density, and average stop delay are selected as the characteristic parameters for traffic state identification. We use a comprehensive fuzzy assessment based on the three indicators to determine the road congestion condition. Simulation results show that the proposed method can precisely reflect the road condition and is more accurate and stable compared to existing algorithms.

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Section: B Experimental Results 1) Cluster Formationmentioning

confidence: 99%

“…Based on [11,12,13], we construct our cluster algorithm and CH selection method. Initially, the RSU aggregates the vehicles within its communication range and forms a cluster.…”

Section: B Cluster Head Selectionmentioning

confidence: 99%

A New Traffic Congestion Detection and Quantification Method Based on Comprehensive Fuzzy Assessment in VANET

2018

KSII TIIS

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“…Unfortunately, it did not involve a maintenance step. Sutagundar et al [20] have proposed a stability-oriented cluster dynamism in VANET (SOCDV), to avoid clustering instability, and enhance the cluster lifetime. Hubballi et al [21] suggested a clustering scheme for hybrid VANET to facilitate reliable communication.…”

Section: Introductionmentioning

confidence: 99%

A novel k-means powered algorithm for an efficient clustering in vehicular ad-hoc networks

Kandali

Bennis

Halaq

et al. 2023

IJECE

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<p>Considerable attention has recently been given to the routing issue in vehicular ad-hoc networks (VANET). Indeed, the repetitive communication failures and high velocity of vehicles reduce the efficacy of routing protocols in VANET. The clustering technique is considered an important solution to overcome these difficulties. In this paper, an efficient clustering approach using an adapted k-means algorithm for VANET has been introduced to enhance network stability in a highway environment. Our approach relies on a clustering scheme that accounts for the network characteristics and the number of connected vehicles. The simulation indicates that the proposed approach is more efficient than similar schemes. The results obtained appear an overall increase in constancy, proven by an increase in cluster head lifetime by 66%, and an improvement in robustness clear in the overall reduction of the end-to-end delay by 46% as well as an increase in throughput by 74%.</p>

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“…The stability of the network can be achieved by controlling the factors such as location, direction, movements, connection, speed, and density. Clustering is one of the traditional models that help improve network stability [3]. This approach's core idea is to decrease energy consumption by creating clusters and selecting cluster heads and gateways [4].…”

Section: Introductionmentioning

confidence: 99%

A QoS Aware Cluster Head Selection and Hybrid Cryptography Routing Protocol for Enhancing Efficiency and Security of VANETs

Jubair¹,

Mostafa

Zebari

et al. 2022

IEEE Access

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Nowadays, VANET (vehicular ad hoc network) is one of the key aspects of developing advanced intelligent transportation systems. Due to its huge mobility and rapid topology alteration, the network exposes to link failure that affects the firmness of the network and causes delay and congestion. Additionally, the dynamic change in the network routing affects the network's security, makes it vulnerable to various attacks, and causes data loss. In order to overcome these drawbacks an efficient and highly secured routing protocol is needed. Subsequently, in this research, a new routing protocol is proposed that has the combination of quality of service (QoS)-aware cluster head (CH) selection and hybrid cryptography, which is named QoS+. The QoS+ protocol is mainly divided into QoS-based CH selection and hybrid cryptography modules. The CH selection module performs based on QoS parameters attempt to provide reliable and stable clusters and improve the firmness and connectivity during the communication process of the network. The hybrid cryptography module contains advanced encryption standard (AES) and elliptic curve cryptosystems (ECC) algorithms. It attempts to improve the security and privacy of the network. The QoS+ protocol is evaluated by a developed VANET simulator using NS2 software. The simulator consists of a network model, a load model, and an attack model. Various speed and transmission ranges and gray hole and wormhole attacks are used in the simulator. The outcome calculated from the performance analysis shows that the proposed QoS+ protocol has 7% to 24% higher message success rate, 500 to 800 higher packets normalized routing load, 350 to 550 Kbps higher throughput, 5% to 17% higher efficiency and 50ms to 12ms lower end to end delay when compared with the earlier works of ECHS and KMSUNET. The proposed QoS+ protocol also achieves superior performance in terms of CH efficiency, cluster member efficiency, and average cluster number with various speeds and transmission ranges.INDEX TERMS Vehicular ad hoc network (VANET), quality of service (QoS), network security, cluster head (CH).

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Stability Oriented Cluster Dynamism in VANET (SOCDV)

Cited by 10 publications

References 10 publications

A New Traffic Congestion Detection and Quantification Method Based on Comprehensive Fuzzy Assessment in VANET

A New Traffic Congestion Detection and Quantification Method Based on Comprehensive Fuzzy Assessment in VANET

A novel k-means powered algorithm for an efficient clustering in vehicular ad-hoc networks

A QoS Aware Cluster Head Selection and Hybrid Cryptography Routing Protocol for Enhancing Efficiency and Security of VANETs

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