Remora optimization algorithm-based optimized node clustering technique for reliable data delivery in VANETs
Vehicular ad hoc Network (VANET) is one of the recently growing trends which motivate the provision of several service providers in the urban areas. In VANETs, the vehicles represent the nodes in the network topology that needs to guarantee better cooperation when there is a higher node density. Mor...
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Format: | Article |
Language: | English |
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KeAi Communications Co., Ltd.
2022-01-01
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Series: | International Journal of Intelligent Networks |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S2666603022000082 |
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author | Swathi Konduru M. Sathya |
author_facet | Swathi Konduru M. Sathya |
author_sort | Swathi Konduru |
collection | DOAJ |
description | Vehicular ad hoc Network (VANET) is one of the recently growing trends which motivate the provision of several service providers in the urban areas. In VANETs, the vehicles represent the nodes in the network topology that needs to guarantee better cooperation when there is a higher node density. Moreover, the problem of determining an optimal route and achieving network scalability is a herculean task. In this context, the incorporation of a potential clustering algorithm has the possibility of improving the road safety and facilitating a reliable option of promoting message routing. The clustering protocols are determined to be the ideal candidate for solving the problems of network scalability to guarantee reliable data dissemination. In this paper, Remora optimization algorithm-based Optimized Node Clustering (ROAONC) Technique is proposed for node clustering in VANETs to achieved optimal CH selection process. This ROAONC scheme was proposed for minimizing network overhead in the scenarios of unpredictable node density. The simulation results of this ROAONC scheme confirmed better performance in terms of transmission range, node density, network area and number of clusters compared to the competitive ant colony, grey wolf, grasshopper, and dragonfly optimization algorithm-based clustering protocols. |
first_indexed | 2024-04-11T15:45:42Z |
format | Article |
id | doaj.art-78e4b22f5a5d40fd92faae4d674e03d3 |
institution | Directory Open Access Journal |
issn | 2666-6030 |
language | English |
last_indexed | 2024-04-11T15:45:42Z |
publishDate | 2022-01-01 |
publisher | KeAi Communications Co., Ltd. |
record_format | Article |
series | International Journal of Intelligent Networks |
spelling | doaj.art-78e4b22f5a5d40fd92faae4d674e03d32022-12-22T04:15:31ZengKeAi Communications Co., Ltd.International Journal of Intelligent Networks2666-60302022-01-0137479Remora optimization algorithm-based optimized node clustering technique for reliable data delivery in VANETsSwathi Konduru0M. Sathya1Department of Computer Science, Pennsylvania State University, PA, 16801, United States; Corresponding author.Department of Information Science and Engineering, AMC Engineering College, Bengaluru, IndiaVehicular ad hoc Network (VANET) is one of the recently growing trends which motivate the provision of several service providers in the urban areas. In VANETs, the vehicles represent the nodes in the network topology that needs to guarantee better cooperation when there is a higher node density. Moreover, the problem of determining an optimal route and achieving network scalability is a herculean task. In this context, the incorporation of a potential clustering algorithm has the possibility of improving the road safety and facilitating a reliable option of promoting message routing. The clustering protocols are determined to be the ideal candidate for solving the problems of network scalability to guarantee reliable data dissemination. In this paper, Remora optimization algorithm-based Optimized Node Clustering (ROAONC) Technique is proposed for node clustering in VANETs to achieved optimal CH selection process. This ROAONC scheme was proposed for minimizing network overhead in the scenarios of unpredictable node density. The simulation results of this ROAONC scheme confirmed better performance in terms of transmission range, node density, network area and number of clusters compared to the competitive ant colony, grey wolf, grasshopper, and dragonfly optimization algorithm-based clustering protocols.http://www.sciencedirect.com/science/article/pii/S2666603022000082Vehicular ad hoc networks (VANETs)Remora optimization algorithm (REOA)Optimized node clusteringNode densityCluster head selection |
spellingShingle | Swathi Konduru M. Sathya Remora optimization algorithm-based optimized node clustering technique for reliable data delivery in VANETs International Journal of Intelligent Networks Vehicular ad hoc networks (VANETs) Remora optimization algorithm (REOA) Optimized node clustering Node density Cluster head selection |
title | Remora optimization algorithm-based optimized node clustering technique for reliable data delivery in VANETs |
title_full | Remora optimization algorithm-based optimized node clustering technique for reliable data delivery in VANETs |
title_fullStr | Remora optimization algorithm-based optimized node clustering technique for reliable data delivery in VANETs |
title_full_unstemmed | Remora optimization algorithm-based optimized node clustering technique for reliable data delivery in VANETs |
title_short | Remora optimization algorithm-based optimized node clustering technique for reliable data delivery in VANETs |
title_sort | remora optimization algorithm based optimized node clustering technique for reliable data delivery in vanets |
topic | Vehicular ad hoc networks (VANETs) Remora optimization algorithm (REOA) Optimized node clustering Node density Cluster head selection |
url | http://www.sciencedirect.com/science/article/pii/S2666603022000082 |
work_keys_str_mv | AT swathikonduru remoraoptimizationalgorithmbasedoptimizednodeclusteringtechniqueforreliabledatadeliveryinvanets AT msathya remoraoptimizationalgorithmbasedoptimizednodeclusteringtechniqueforreliabledatadeliveryinvanets |