Medium Access Concept for VANETs Based on Clustering

Gunter, Y.; Wiegel, B.; Grossmann, H.P.

doi:10.1109/vetecf.2007.459

Cited by 24 publications

(11 citation statements)

References 4 publications

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“…If a node detects the presence of a cluster head within the timeout period, it affiliates with it; otherwise, if the timer expires, the node declares itself a cluster head. The waiting period may be set statically, as in [43] and [83], or randomly as in [62]. A potential cluster head may be further evaluated by nodes that overhear its broadcasts to determine its suitability as their cluster head [69], for example, a node may affiliate with a cluster head if the RSS of the received broadcasts exceeds a set threshold.…”

Section: A Cluster Head Selection Strategymentioning

confidence: 99%

A Comparative Survey of VANET Clustering Techniques

Cooper

Franklin

Ros

et al. 2017

IEEE Commun. Surv. Tutorials

410

176

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A vehicular ad hoc network (VANET) is a mobile ad hoc network (MANET) in which network nodes are vehicles -most commonly road vehicles. VANETs present a unique range of challenges and opportunities for routing protocols due to the semi-organised nature of vehicular movements subject to the constraints of road geometry and rules, and the obstacles which limit physical connectivity in urban environments. In particular, the problems of routing protocol reliability and scalability across large urban VANETs are currently the subject of intense research. Clustering can be used to improve routing scalability and reliability in VANETs, as it results in the distributed formation of hierarchical network structures by grouping vehicles together based on correlated spatial distribution and relative velocity. In addition to the benefits to routing, these groups can serve as the foundation for accident or congestion detection, inforomation dissemination and entertainment applications. This paper explores the design choices made in the development of clustering algorithms targeted at VANETs. It presents a taxonomy of the techniques applied to solve the problems of cluster head election, cluster affiliation and cluster management, and identifies new directions and recent trends in the design of these algorithms. Additionally, methodologies for validating clustering performance are reviewed, and a key shortcomingthe lack of realistic vehicular channel modelling -is identified. The importance of a rigorous and standardised performance evaluation regime utilising realistic vehicular channel models is demonstrated.

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Section: A Cluster Head Selection Strategymentioning

confidence: 99%

A Comparative Survey of VANET Clustering Techniques

Cooper

Franklin

Ros

et al. 2017

IEEE Commun. Surv. Tutorials

410

176

View full text Add to dashboard Cite

show abstract

“…Most of the existing VANET clustering algorithms are derived from the MANET clustering schemes [26][27][28], and the studies [29] [30] show the benefits of clusters including the reduction of communication overhead and improvement of delivery ratio. Unfortunately, the creation and maintenance of the cluster structure in a highly mobile network is impractical, because of the continuous variation of the network topology [31].…”

Section: Related Workmentioning

confidence: 99%

DEEP: Density-Aware Emergency Message Extension Protocol for VANETs

Chuang

Chen

2013

IEEE Trans. Wireless Commun.

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Abstract-With the rapid developments in vehicular communication technology, academics and industry researchers are paying increasing attention to vehicular ad hoc networks (VANETs). In VANETs, dissemination delay and reliability are important criteria for many applications, especially for emergency messages. Existing approaches have difficulty satisfying both requirements simultaneously because they conflict with one another. In this paper, we propose a novel mechanism, called the Density-aware Emergency message Extension Protocol (DEEP) to disseminate emergency messages in VANETs. DEEP resolves the broadcast storm problem, achieves low dissemination delay, and provides high reliability over a realistic multi-lane freeway scenario. The mechanism delivers emergency messages to a specific area (e.g., the area before the exit) in a timely manner and guarantees that all relevant vehicles in that area will receive the messages. Drivers can then change their routes and avoid getting caught in a traffic jam. Performance evaluations via NS-2 simulations demonstrate that DEEP achieves both lower dissemination delay and higher reliability than existing approaches.

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“…However, in the medium access layer, clustering is used to handle the hidden node problem, provide better scalability, reduce the number of interfering nodes, limit the area of message dissemination, and provide fair access to the medium [22].…”

Section: Virtual Grouping Mac 251 Cluster-based Macmentioning

confidence: 99%

“…For vehicular networks, research on cluster-based MAC focuses on clustering formulation algorithms, improving the medium access through clustering, minimizing the cost by using a fewer number of transceivers, and avoiding the inter-cluster interference. The authors in [22] proposes a clustering medium access mechanism based on TDMA. The main function of the clusterhead is to manage the bandwidth assignment in the cluster.…”

Section: Virtual Grouping Mac 251 Cluster-based Macmentioning

confidence: 99%

Mobility impact in IEEE 802.11p infrastructureless vehicular networks

2012

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Vehicular ad hoc networks (VANETs) are an extreme case of mobile ad hoc networks (MANETs). High speed and frequent network topology changes are the main characteristics of vehicular networks. These characteristics lead to special issues and challenges in the network design, especially at the medium access control (MAC) layer. Due to high speed of nodes and their frequent disconnections, it is difficult to design a MAC scheme in VANETs that satisfies the quality-of-service requirements in all networking scenarios.In this thesis, we provide a comprehensive evaluation of the mobility impact on the IEEE 802.11p MAC performance. The study evaluates basic performance metrics such as packet delivery ratio, throughput, and delay, as well as the impact of mobility factors. The study also presents a relation between the mobility factors and the respective medium access behavior. Moreover, a new unfairness problem according to node relative speed is identified for both broadcast and unicast scenarios. To achieve better performance, we propose two dynamic contention window mechanisms to alleviate network performance degradation due to high mobility. Extensive simulation results show the significant impact of mobility on the IEEE 802.11p MAC performance, an identification of a new unfairness problem in the vehicle-to-vehicle (V2V) communications, and the effectiveness of the proposed MAC schemes.iii Acknowledgements I would like to express my deepest appreciation and gratitude to my supervisor Professor Weihua Zhuang for her guidance, support, and share of knowledge. Professor Zhuang can be considered as a role model for the professional academic supervisor. She gave me the opportunity to choose the topic of my Master's research, and provided me with invaluable suggestions and advice. She always inspired me when discussing research problems. In addition to her solid knowledge that enriched my research, she was always available, professional, helpful, and extremely nice. Her extraordinary commitment to the excellence of research made the opportunity to work with her a true reward of my Master's research.

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Medium Access Concept for VANETs Based on Clustering

Cited by 24 publications

References 4 publications

A Comparative Survey of VANET Clustering Techniques

A Comparative Survey of VANET Clustering Techniques

DEEP: Density-Aware Emergency Message Extension Protocol for VANETs

Mobility impact in IEEE 802.11p infrastructureless vehicular networks

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