Vehicle clustering algorithm for sharing information on traffic congestion

Kanemaru, Yohei; Matsuura, Shinya; Kakiuchi, Masatoshi; Noguchi, S.; Inomata, Atsuo; Fujikawa, Kazutoshi

doi:10.1109/itst.2013.6685518

Cited by 9 publications

(10 citation statements)

References 11 publications

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“…Since all the nodes in the cluster of one base station must exchange information with each other via the base station, it is obvious that adding other information (such as social relationships of nodes) in the method is not able to improve the performance of the method. In [1,[9][10][11], the authors proposed a kind of vehicle clustering methods, in which the nodes are clustered by means of the dynamic information (geographic locations trajectories and speeds of nodes). Although the dynamic information has been employed to cluster the nodes in VANET, the social relationships between nodes derived by drivers fail to be considered in these methods.…”

Section: Discussionmentioning

confidence: 99%

“…As a network involved drivers or users, VANET thus should be investigated by means of social relationships of drivers or users. In the method proposed in this paper, the social relationships of nodes are used to modify the clusters results obtained by locations and speeds, which makes it reasonable that the proposed method is superior to the one using the neighborhood of base station in [2] and the ones clustering vehicle nodes by dynamic information in [1,[9][10][11].…”

Section: Discussionmentioning

confidence: 99%

“…Clustering and cluster-based routing protocols are the two important areas currently being studied, especially in VANET [8]. In [9][10][11][12][13], clustering in vehicle networks is studied. With the aim of efficient information propagation, Kanemaru et al [9] proposed a vehicle clustering algorithm based on the similarity of geographic locations and trajectories.…”

Section: Introductionmentioning

confidence: 99%

“…In [9][10][11][12][13], clustering in vehicle networks is studied. With the aim of efficient information propagation, Kanemaru et al [9] proposed a vehicle clustering algorithm based on the similarity of geographic locations and trajectories. Washio et al [10] put forward a vehicle clustering algorithm based on geographic location and trajectory to improve information validity in the communication process.…”

Section: Introductionmentioning

confidence: 99%

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Driver’s Social Relationship Based Clustering and Transmission in Vehicle Ad Hoc Networks (VANETs)

Wang

Gao

2020

Electronics

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Clustering is a technique for dividing a network into different group of nodes and managing the transmission of data among the interacting nodes, to improve the effectiveness and safety of information transfer. Clustering have been well studied and applied in traditional mobile networks. However, vehicle networks have short connection time, frequently changing topology, and other unique properties that conventional clustering cannot transfer well. The vehicle nodes in Vehicle Ad-hoc Networks (VANETs) are most directly affected by the surrounding vehicle nodes and exchanged information with them. However, this will cause network congestion or even the spread of malicious messages. The inclusion of vehicle’s (driver’s) social relationships in vehicle communication clustering will increase the degree of trust between vehicle nodes, making communication more purposeful and accurate. This study proposed a new clustering for vehicle networks that is based on drivers’ social relationship combined with the instantaneous position and speed of the vehicle node. Simulation results showed that this clustering method can improve the effectiveness of information transmission and increase the utilization of the application layer.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Driver’s Social Relationship Based Clustering and Transmission in Vehicle Ad Hoc Networks (VANETs)

Wang

Gao

2020

Electronics

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“…This approach can be applied to intervehicle communications, but it is known to be limited to vehicles with special characteristics, such as buses and taxis. In a study by Kanemaru et al [13], by using vehicle trajectories and geographic locations, a clustering algorithm for vehicles involved in the same traffic congestion has been proposed. This approach makes it possible to perform the identification of traffic congestion, and its head vehicle, with information about traffic congestion.…”

Section: Cooperation With Neighborsmentioning

confidence: 99%

A vehicle clustering algorithm for information propagation by inter-vehicle communications

Washio

Matsuura

Kakiuchi

et al. 2015

2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops)

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There are some cases regarding information propagation over a wide area, such as Vehicle-to-Vehicle (V2V) communications, in which an end-to-end path does not exist, due to the non-uniform density of vehicles. In order to solve this problem, Delay Tolerant Network (DTN) architectures have been studied to facilitate message delivery in V2V communications. However, existing message delivery methods for the purpose of information sharing do not consider the efficiency of message passing communications. As a result, information can be lost, due to a decrease in the efficiency of information propagation. In order to increase the efficiency of information propagation, we propose a vehicle clustering algorithm, based on the similarity of geographic locations and trajectories. This contributes to efficient message passing communication. In order to evaluate our proposal, we carry out a simulation. The simulation results confirm that our proposed method provides higher message reachability, and utilizes bandwidth more efficiency than existing methods.

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Efficient dissemination based on passive approach and dynamic clustering for VANET

Touil

Ghadi

2018

Procedia Computer Science

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Vehicle clustering algorithm for sharing information on traffic congestion

Cited by 9 publications

References 11 publications

Driver’s Social Relationship Based Clustering and Transmission in Vehicle Ad Hoc Networks (VANETs)

Driver’s Social Relationship Based Clustering and Transmission in Vehicle Ad Hoc Networks (VANETs)

A vehicle clustering algorithm for information propagation by inter-vehicle communications

Efficient dissemination based on passive approach and dynamic clustering for VANET

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