Performance Improvement of Cluster-Based Routing Protocol in VANET

Abuashour, Ahmad; Kadoch, Michel

doi:10.1109/access.2017.2733380

Cited by 112 publications

(73 citation statements)

References 23 publications

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“…These nodes in a cluster can be classified as cluster members (CM) who are the communicating nodes in a cluster or cluster head (CH) coordinating a cluster's operations. This separate classification of CM and CH offers a framework for fair communication [1], [5], [7], [10].…”

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confidence: 99%

Improved Cluster Stability in the Ad Hoc Vehicle Network

Ramakrishnan*¹,

Suganthi²

2019

IJITEE

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Traffic management has been and remains a significant issue, particularly in urban regions with elevated vehicle density. Adoption of an intelligent transport system (ITS) has extensively experimented to curb the traffic threat with blended experiences as a result. By communicating with other vehicles traveling on the same road in the form of clusters, an ad hoc vehicle network (VANET) forms and ITS that can allow vehicles with less human input to cooperate. By considering the elevated mobility nature of cars in VANET, this article provides a solution to the primary threat of VANET clustering by embracing the flexibility of fuzzy logics for cluster formation on a multilane urban high way. It also demonstrates that cluster stability is enhanced by performing the cluster head (CH) selection process based on a mixture of fuzzy logic, lane weighting, and utility function with the fuzzy membership function adjusted to boost cluster stability.

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confidence: 99%

Improved Cluster Stability in the Ad Hoc Vehicle Network

Ramakrishnan*¹,

Suganthi²

2019

IJITEE

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“…CH manages the spectrum and assigns free channels to cluster members. Three algorithms were proposed in [24] for extending VANETs' lifetime. These algorithms include: Cluster-Based Lifetime Routing (CBLTR) protocol, Intersection Dynamic VANET Routing (IDVR) protocol, and Control Overhead Reduction Algorithm (CORA).…”

Section: A2 Clustering Metricsmentioning

confidence: 99%

“…We illustrate the trade-off between the stability of VANET and the cost of spectrum. Previous studies [7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24][25] assumed spectrum availability for VANET. Moreover, they assumed unlicensed access to spectrum is free and spectrum owners do not get any financial benefits.…”

Section: A3 Emerging Applications Of the Proposed Clustering Schemementioning

confidence: 99%

Novel Fuzzy and Game Theory Based Clustering and Decision Making for VANETs

Alsarhan

Kilani

Al‐Dubai

et al. 2020

IEEE Trans. Veh. Technol.

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Different studies have recently emphasized the importance of deploying clustering schemes in Vehicular ad hoc Network (VANET) to overcome challenging problems related to scalability, frequent topology changes, scarcity of spectrum resources, maintaining clusters stability, and rational spectrum management. However, most of these studies addressed the clustering problem using conventional performance metrics while spectrum shortage, and the combination of spectrum trading and VANET architecture have not been tackled so far. Thus, this paper presents a new fuzzy logic based clustering control scheme to support scalability, enhance the stability of the network topology, motivate spectrum owners to share spectrum and provide efficient and cost-effective use of spectrum. Unlike existing studies, our context-aware scheme is based on multi-criteria decision making where fuzzy logic is adopted to rank the multi-attribute candidate nodes for optimizing the selection of cluster heads (CH)s. Criteria related to each candidate node include: received signal strength, speed of vehicle, vehicle location, spectrum price, reachability, and stability of node. Our model performs efficiently, exhibits faster recovery in response to topology changes and enhances the network efficiency life time. Index Terms-Clustering architecture, Cognitive network, Fuzzy logic, Multi-criteria decision making, Vehicular Ad-hoc Networks.I. INTRODUCTION owadays, the rapid growth of the world population is indelibly tightly coupled with the massive growth in vehicular communications deployment and application. Recent advances in wireless communication technologies has led to the development of new communication paradigms where vehicles can communicate with each other, i.e. VANET, with the required infrastructure [1]. VANET supports a plethora of safety and non-safety related applications [1,2]. However, these applications require low latency, and high-reliability communication at appropriate overall data rates. Furthermore, a timely update of the network topology is a significant requirement for the operation of safety applications in this network. VANETs pose challenges related to their specific characteristics that distinguish them from other wireless networks. Beside the high mobility, the irregular distribution of nodes leads to frequent VANET partitions, particularly in highway scenarios [1][2][3][4]. Furthermore, the transmission range of vehicles is short, which reduces connectivity [1][2][3][4]. Hence, supporting dynamic data traffic in VANET cannot be guaranteed. Frequent network partitioning results in frequent intermittent connections that may lead to severe packet loss and significant latency [4].In addition, VANETs are non-structured, autonomous, totally decentralized self-configured networks with distributed characteristics nodes [1][2][3][4]. These properties make resource management a challenging problem. Maintaining a global network topology in a centralized entity is essential in order to manage a large-scale VANET in a metropolitan a...

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“…Abuashour and Kadoch [28] presented three forwarding protocols to VANETs. CBLTR is a cluster-based lifetime routing, which aims to increase route stability and average throughput in a bidirectional segment scenario.…”

Section: Performance Metrics Of Forwarding Strategies and Forwarding mentioning

confidence: 99%

Transmission Opportunities: A New Approach to Improve Quality in V2V Networks

Guerber

Gomes

Fonseca

et al. 2019

Wireless Communications and Mobile Computing

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In vehicular ad hoc networks (VANETs), vehicle-to-vehicle (V2V) communication occurs opportunistically due to frequent node mobility and intermittent contact time. In this scenario, the performance evaluation of forwarding protocols by the use of the existing resources in the network is an open challenge, given the different strategies that the routing protocols adopt for choosing the next hop. Through the data analysis of three real taxis’ mobility traces and varying the radio signal range from 50 meters to 1.000 meters, we could contribute to the analysis of the existence of single-radio transmission opportunities and their quantification and classification considering either serial or parallel. Additionally, the inventory analysis of communication resources is done by evaluating the data transmission rate and the beacon overhead impact and by the proposal of a new metric (TOppMi) for the performance evaluation of forwarding protocols. We discuss the impact on forwarding protocols by the appropriate use of this metric, and we show that this metric can be used either for performance evaluation of forwarding protocols or to improve the quality over the consumption of resources in vehicular ad hoc networks. Our metric can obtain the maximum theoretical resource usage independent of the scenario. Either for Rome or San Francisco or Shanghai, as the radio’s signal range increases, the maximum theoretical amount of resources also increases. We could also show that, for the three scenarios, the beacon overhead has an insignificant impact over the total theoretical data inventory available. Furthermore, we classify the vehicles according to the contact time between them.

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Performance Improvement of Cluster-Based Routing Protocol in VANET

Cited by 112 publications

References 23 publications

Improved Cluster Stability in the Ad Hoc Vehicle Network

Improved Cluster Stability in the Ad Hoc Vehicle Network

Novel Fuzzy and Game Theory Based Clustering and Decision Making for VANETs

Transmission Opportunities: A New Approach to Improve Quality in V2V Networks

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