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MADCR: Mobility aware dynamic clustering-based routing protocol in Internet of Vehicles

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MADCR: Mobility aware dynamic clustering-based routing protocol in Internet of Vehicles. / Sennan, Sankar; Ramasubbareddy, Somula; Balasubramaniyam, Sathiyabhama et al.
In: China Communications, Vol. 18, No. 7, 9495356, 31.07.2021, p. 69-85.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Sennan, S, Ramasubbareddy, S, Balasubramaniyam, S, Nayyar, A, Kerrache, CA & Bilal, M 2021, 'MADCR: Mobility aware dynamic clustering-based routing protocol in Internet of Vehicles', China Communications, vol. 18, no. 7, 9495356, pp. 69-85. https://doi.org/10.23919/JCC.2021.07.007

APA

Sennan, S., Ramasubbareddy, S., Balasubramaniyam, S., Nayyar, A., Kerrache, C. A., & Bilal, M. (2021). MADCR: Mobility aware dynamic clustering-based routing protocol in Internet of Vehicles. China Communications, 18(7), 69-85. Article 9495356. https://doi.org/10.23919/JCC.2021.07.007

Vancouver

Sennan S, Ramasubbareddy S, Balasubramaniyam S, Nayyar A, Kerrache CA, Bilal M. MADCR: Mobility aware dynamic clustering-based routing protocol in Internet of Vehicles. China Communications. 2021 Jul 31;18(7):69-85. 9495356. doi: 10.23919/JCC.2021.07.007

Author

Sennan, Sankar ; Ramasubbareddy, Somula ; Balasubramaniyam, Sathiyabhama et al. / MADCR : Mobility aware dynamic clustering-based routing protocol in Internet of Vehicles. In: China Communications. 2021 ; Vol. 18, No. 7. pp. 69-85.

Bibtex

@article{e7a823c80f9549c1b9bd4971e28991a0,
title = "MADCR: Mobility aware dynamic clustering-based routing protocol in Internet of Vehicles",
abstract = "Internet of Vehicles (IoV) is an evolution of the Internet of Things (IoT) to improve the capabilities of vehicular ad-hoc networks (VANETs) in intelligence transport systems. The network topology in IoV paradigm is highly dynamic. Clustering is one of the promising solutions to maintain the route stability in the dynamic network. However, existing algorithms consume a considerable amount of time in the cluster head (CH) selection process. Thus, this study proposes a mobility aware dynamic clustering-based routing (MADCR) protocol in IoV to maximize the lifespan of networks and reduce the end-to-end delay of vehicles. The MADCR protocol consists of cluster formation and CH selection processes. A cluster is formed on the basis of Euclidean distance. The CH is then chosen using the mayfly optimization algorithm (MOA). The CH subsequently receives vehicle data and forwards such data to the Road Side Unit (RSU). The performance of the MADCR protocol is compared with that of Ant Colony Optimization (ACO), Comprehensive Learning Particle Swarm Optimization (CLPSO), and Clustering Algorithm for Internet of Vehicles based on Dragonfly Optimizer (CAVDO). The proposed MADCR protocol decreases the end-to-end delay by 5-80 ms and increases the packet delivery ratio by 5%-15%.",
keywords = "clustering protocol, Internet of things, Internet of vehicles, Mayfly algorithm, optimization algorithm",
author = "Sankar Sennan and Somula Ramasubbareddy and Sathiyabhama Balasubramaniyam and Anand Nayyar and Kerrache, {Chaker Abdelaziz} and Muhammad Bilal",
year = "2021",
month = jul,
day = "31",
doi = "10.23919/JCC.2021.07.007",
language = "English",
volume = "18",
pages = "69--85",
journal = "China Communications",
issn = "1673-5447",
publisher = "China Institute of Communication",
number = "7",

}

RIS

TY - JOUR

T1 - MADCR

T2 - Mobility aware dynamic clustering-based routing protocol in Internet of Vehicles

AU - Sennan, Sankar

AU - Ramasubbareddy, Somula

AU - Balasubramaniyam, Sathiyabhama

AU - Nayyar, Anand

AU - Kerrache, Chaker Abdelaziz

AU - Bilal, Muhammad

PY - 2021/7/31

Y1 - 2021/7/31

N2 - Internet of Vehicles (IoV) is an evolution of the Internet of Things (IoT) to improve the capabilities of vehicular ad-hoc networks (VANETs) in intelligence transport systems. The network topology in IoV paradigm is highly dynamic. Clustering is one of the promising solutions to maintain the route stability in the dynamic network. However, existing algorithms consume a considerable amount of time in the cluster head (CH) selection process. Thus, this study proposes a mobility aware dynamic clustering-based routing (MADCR) protocol in IoV to maximize the lifespan of networks and reduce the end-to-end delay of vehicles. The MADCR protocol consists of cluster formation and CH selection processes. A cluster is formed on the basis of Euclidean distance. The CH is then chosen using the mayfly optimization algorithm (MOA). The CH subsequently receives vehicle data and forwards such data to the Road Side Unit (RSU). The performance of the MADCR protocol is compared with that of Ant Colony Optimization (ACO), Comprehensive Learning Particle Swarm Optimization (CLPSO), and Clustering Algorithm for Internet of Vehicles based on Dragonfly Optimizer (CAVDO). The proposed MADCR protocol decreases the end-to-end delay by 5-80 ms and increases the packet delivery ratio by 5%-15%.

AB - Internet of Vehicles (IoV) is an evolution of the Internet of Things (IoT) to improve the capabilities of vehicular ad-hoc networks (VANETs) in intelligence transport systems. The network topology in IoV paradigm is highly dynamic. Clustering is one of the promising solutions to maintain the route stability in the dynamic network. However, existing algorithms consume a considerable amount of time in the cluster head (CH) selection process. Thus, this study proposes a mobility aware dynamic clustering-based routing (MADCR) protocol in IoV to maximize the lifespan of networks and reduce the end-to-end delay of vehicles. The MADCR protocol consists of cluster formation and CH selection processes. A cluster is formed on the basis of Euclidean distance. The CH is then chosen using the mayfly optimization algorithm (MOA). The CH subsequently receives vehicle data and forwards such data to the Road Side Unit (RSU). The performance of the MADCR protocol is compared with that of Ant Colony Optimization (ACO), Comprehensive Learning Particle Swarm Optimization (CLPSO), and Clustering Algorithm for Internet of Vehicles based on Dragonfly Optimizer (CAVDO). The proposed MADCR protocol decreases the end-to-end delay by 5-80 ms and increases the packet delivery ratio by 5%-15%.

KW - clustering protocol

KW - Internet of things

KW - Internet of vehicles

KW - Mayfly algorithm

KW - optimization algorithm

U2 - 10.23919/JCC.2021.07.007

DO - 10.23919/JCC.2021.07.007

M3 - Journal article

AN - SCOPUS:85111617745

VL - 18

SP - 69

EP - 85

JO - China Communications

JF - China Communications

SN - 1673-5447

IS - 7

M1 - 9495356

ER -