CNN: A Cluster-Based Named Data Routing for Vehicular Networks

Ardakani, Saeid Pourroostaei; Kwong, Chiew Foong; Kar, Pushpendu; Liu, Qianyu; Li, Lincan

doi:10.1109/access.2021.3131198

Cited by 15 publications

(5 citation statements)

References 32 publications

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“…Presented in [28] is a cluster-based routing protocol to improve the path length and data delivery ratio, as well as to reduce the average end-to-end delay. Here, a named data network technique is used in a hybrid communication model for dedicated short-range communication.…”

Section: Related Work 21 Clustering Associated Researchmentioning

confidence: 99%

Privacy-Preserving Mobility Model and Optimization-Based Advanced Cluster Head Selection (P2O-ACH) for Vehicular Ad Hoc Networks

Abdulsattar¹,

Mohammed²,

Alkhayyat

et al. 2022

Electronics

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In vehicular ad hoc networks (VANETs), due to the fast-moving mobile nodes, the topology changes frequently. This dynamically changing topology produces congestion and instability. To overcome this issue, privacy-preserving optimization-based cluster head selection (P2O-ACH) is proposed. One of the major drawbacks analyzed in the earlier cluster-based VANETs is that it creates a maximum number of clusters for communication that leads to an increase in energy consumption which reflects in a degradation of the performance. In this paper, enhanced rider optimization algorithm (ROA)-based CH selection is performed and that optimally selects the CH so that effective clusters are created. By analyzing this, the behavior of the bypass rider’s CH is chosen, and this forms the optimized clusters, and during the process of transmission, privacy-preserving mobility patterns are used to secure the network from all kinds of malfunctions which are performed by the new vehicle blending and migration process. The proposed P2O-ACH is simulated using NS-2, and for performance analysis, two scenarios are taken, which contain a varying number of vehicles and varying speeds. For a varying number of vehicles and speeds, the considered parameters are energy efficiency, energy consumption, network lifetime, packet delivery ratio, packet loss, network latency, network throughput, and routing overhead. From the results, it is understood that the proposed method performed better when compared with earlier work, such as GWO-CH, ACO-SCRS, and QMM-VANET.

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Section: Related Work 21 Clustering Associated Researchmentioning

confidence: 99%

Privacy-Preserving Mobility Model and Optimization-Based Advanced Cluster Head Selection (P2O-ACH) for Vehicular Ad Hoc Networks

Abdulsattar¹,

Mohammed²,

Alkhayyat

et al. 2022

Electronics

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“…One of the main aim of this proposal is to maintain and control the growth of the FIB. Also based on clustering, Ardakani et al 108 proposed a routing model where the single‐hop clusters are formed according to the mobility of nodes (e.g., vehicles moving in the same region, on the same road and lane) using Hamming distance technique. A CH in each partition is responsible of performing data aggregation, intra‐cluster communications, and dissemination of content among clusters.…”

Section: Methodsmentioning

confidence: 99%

On the realization of VANET using named data networking: On improvement of VANET using NDN‐based routing, caching, and security

Silva

Costa

Macedo

2022

Int J Communication

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Summary Named data networking (NDN) presents a huge opportunity to tackle some of the unsolved issues of IP‐based vehicular ad hoc networks (VANET). The core characteristics of NDN such as the name‐based routing, in‐network caching, and built‐in data security provide better management of VANET proprieties (e.g., the high mobility, link intermittency, and dynamic topology). This study aims at providing a clear view of the state‐of‐the‐art on the developments in place, in order to leverage the characteristics of NDN in VANET. We resort to a systematic literature review (SLR) to perform a reproducible study, gathering the proposed solutions and summarizing the main open challenges on implementing NDN‐based VANET. There exist several related studies, but they are more focused on other topics such as forwarding. This work specifically restricts the focus on VANET improvements by NDN‐based routing (not forwarding), caching, and security. The surveyed solution herein presented is performed between 2010 and 2021. The results show that proposals on the selected topics for NDN‐based VANET are recent (mainly from 2016 to 2021). Among them, caching is the most investigated topic. Finally, the main findings and the possible roadmaps for further development are highlighted.

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“…However, maintaining this table is difficult. Ardakani et al proposed a cluster-based routing protocol for VANETs [17]. That protocol partitions the network based on node mobility by using a distributed clustering algorithm.…”

Section: Related Workmentioning

confidence: 99%

“…end for 28: end for Algorithm 2 Merge Two Clusters such as adding a new car (steps 9-11), moving existing cars (steps 12-13), and switching traffic lights (steps 14-15). It also creates an accident upon a mouse click on a car (steps [16][17][18], so that the car stops and generates reports.…”

Section: Vanet Simulator For Event Message Clusteringmentioning

confidence: 99%

Event Message Clustering Algorithm for Selection of Majority Message in VANETs

et al. 2023

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The trustworthiness of nodes in Vehicular Ad-Hoc Networks (VANETs) is essential for disseminating truthful event messages. False messages may cause vehicles to behave in unintended ways, creating an unreliable transportation system. The efficiency and reliability of the transportation system can be obtained through trustworthy vehicular nodes providing correct event messages. In a VANET, the consensus issue can be resolved by employing blockchain. Even if we employ blockchain in a VANET, the trustworthiness of each message recorded needs to be verified separately since the blockchain itself does not guarantee the trust level of each event message. For instance, when there are multiple conflicting messages associated with a single accident on the road, a vote based on majority opinion can be considered one option for making a decision regarding the accident. In this work, we design the VANET event message clustering algorithm (VEMCA) to resolve the conflicting message problem. Furthermore, we develop a simulator for the VANET environment that demonstrates how the clustering algorithm can be used for event message validation. Experimental results show that our algorithm outperforms state-of-the-art clustering algorithms in terms of accuracy, precision, recall, f1-score, and computational time. INDEX TERMS VANET, clustering algorithm, trustworthiness, blockchain, simulator I. INTRODUCTION A. BACKGROUND VOLUME 4, 2016

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CNN: A Cluster-Based Named Data Routing for Vehicular Networks

Cited by 15 publications

References 32 publications

Privacy-Preserving Mobility Model and Optimization-Based Advanced Cluster Head Selection (P2O-ACH) for Vehicular Ad Hoc Networks

Privacy-Preserving Mobility Model and Optimization-Based Advanced Cluster Head Selection (P2O-ACH) for Vehicular Ad Hoc Networks

On the realization of VANET using named data networking: On improvement of VANET using NDN‐based routing, caching, and security

Event Message Clustering Algorithm for Selection of Majority Message in VANETs

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