Using road IDs to enhance clustering in vehicular ad hoc networks

Hadded, Mohamed; Mühlethaler, Paul; Zagrouba, Rachid; Laouiti, Anis; Saı̈dane, Leı̈la Azouz

doi:10.1109/iwcmc.2015.7289097

Cited by 12 publications

(6 citation statements)

References 9 publications

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“…The simulation results show that ACA clearly improves the clustering performance in VANETs in terms of cluster lifetime. As future work, we plan to design a cross-layer architecture combining a Medium Access Control (MAC) protocol and a clustering scheme to improve channel access efficiency in VANETs where cluster head would be 1 Undecided State Fig. 10.…”

Section: Discussionmentioning

confidence: 99%

“…In [1], the authors proposed an Adaptive Weighted Clustering Protocol (AWCP) which is road map dependent and uses road IDs and movement direction in order to make the clusters' structure as stable as possible. However AWCP is based on the assumption that each vehicle is equipped with a digital mapping device, thus it can not operate in environments where vehicles without maps are present.…”

Section: Related Workmentioning

confidence: 99%

“…In this section, we evaluate and compare the performance of ACA with other clustering protocols proposed in the literature, namely AWCP [1], CPM [4] and HD [6]. We use the set of parameters found using the NSGA-II approach, see [11].…”

Section: B Performance Evaluationsmentioning

confidence: 99%

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A Novel Angle-Based Clustering Algorithm for Vehicular Ad Hoc Networks

Hadded

Mühlethaler

Laouiti

et al. 2017

Advances in Intelligent Systems and Computing

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A vehicular ad hoc network (VANET) is a mobile network in which vehicles acting as moving nodes communicate with each other through an ad hoc wireless network. VANETs have become the core component of Intelligent Transportation Systems (ITS) which aim to improve the road safety and efficiency. Only if the communication scheme used in a VANET is stable can these aims be achieved. Frequent changes in network topology and breaks in communication raise challenging issues in the design of communication protocols for such networks. Currently, clustering algorithms are being used as the control schemes to reduce changes in VANET topologies. However, the design of a clustering algorithm becomes a difficult task in VANETs when there are many road segments and intersections. In this work, we propose an Angle based Clustering Algorithm (ACA), which exploits the angular position and the direction of the vehicles to select the most stable vehicles that can act as cluster heads for a long period of time. The simulation results reveal that ACA significantly outperforms other clustering protocols in terms of cluster stability.

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Section: Discussionmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

A Novel Angle-Based Clustering Algorithm for Vehicular Ad Hoc Networks

Hadded

Mühlethaler

Laouiti

et al. 2017

Advances in Intelligent Systems and Computing

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“…For optimal cluster head selection, a weighted cluster head selection algorithm is proposed in which every node computes a weight based on certain parameters and the node with maximum weight will be elected as the cluster head [8] [9].…”

Section: Cluster Head Selectionmentioning

confidence: 99%

A Destination Based Routing Protocol for Context Based Clusters in VANET

Sethi¹,

Chand²

2017

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Today, vehicular ad-hoc network (VANET) is a hot research topic due to its many applications like collision avoidance, congestion road notification, parking lot availability, road-side business advertisements, etc. All these applications have hard delay constraints i.e. the messages should reach the target location within certain time limits. So, there must be efficient routing in VANET which meets these delay constraints. In this paper, two techniques are proposed to minimize the data traffic and delay in VANET. Firstly, a context based clustering is proposed which takes into consideration various parameters in cluster formation-location of vehicle, direction of vehicle, velocity of vehicle, interest list of vehicle [1] and destination of vehicle. Secondly, a destination based routing protocol is proposed for these context based clusters for efficient inter-cluster communication.

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“…In which each node (CM), depending on these parameters, calculates its own "weight" (sum). And that member of the cluster with the maximum weight whose results are close and convenient for all other members will be chosen as the head of the cluster[10] [11]. The selection of a cluster head includes: The first thing to do is that each vehicle receives its own parameters from its on-board device-location, direction, speed, destination and a list of interests that are needed at the clustering stage.…”

mentioning

confidence: 99%

Destination Based Stable Clustering Algorithm and Routing for VANET

Azat¹,

Tang²

2020

JCC

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Now in modern telecommunication, one of the big topic research is a Vehicle Ad-hoc Network "VANET" (V2V). This topic is one of an "issues of the day" because research has problematic topic due to its many application-questions, what we need to solve: avoid collisions, any accidents on a way, and notifications about congestions on the road, available car parking, roadside commercial-business ads, and etcetera. These like application forms creating big delay constraining's i.e. the instant data should reach the destination within certain time limits. Therefore, we need a really efficient stable clustering method and routing in vehicle ad-hoc network which will be resistant to network delays and meets network requirements. The methods are proposed in the paper for optimization VANETs data traffic as well as to minimizing delay. First, here is presented, a stable clustering algorithm based on the destination, contextually take into consideration various physical parameters for cluster formation such as location of the vehicle and its direction, vehicle speed and destination, as well as a possible list of interests of the vehicle. And also the next main process is to depend on these "five parameters" we can calculate the "Cluster Head Eligibility" of each car. Second, based on this "Cluster Head Eligibility", described cluster head selection method. Third, for efficient communication between clusters, present a routing protocol based on the "destination", which considered an efficient selecting method of next forwarding nodes, which is calculated by using "FE" metric.

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Using road IDs to enhance clustering in vehicular ad hoc networks

Cited by 12 publications

References 9 publications

A Novel Angle-Based Clustering Algorithm for Vehicular Ad Hoc Networks

A Novel Angle-Based Clustering Algorithm for Vehicular Ad Hoc Networks

A Destination Based Routing Protocol for Context Based Clusters in VANET

Destination Based Stable Clustering Algorithm and Routing for VANET

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