Improving the quality of real-time data transmission service in VANETS by balancing the load on road side units

Vehicular Ad Hoc Networks (VANETs) play a critical role in ensuring safety and welfare applications for drivers and passengers amidst the escalating vehicular population in urban environments. The efficient functioning of VANETs hinges on addressing the challenge of load balancing among Road Side Un...

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Vydané v:Cluster computing Ročník 27; číslo 5; s. 6471 - 6487
Hlavní autori: Saemi, Behzad, Halataei, Fatemeh, Ahmadi, Rouhollah, Ashkaran, Ali, Mirkamali, SeyedSaeid, Hosseinabadi, Ali Asghar Rahmani
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: New York Springer US 01.08.2024
Springer Nature B.V
Predmet:
Algorithms
Automobiles
Clustering
Communication
Computer Communication Networks
Computer Science
Congestion
Data transmission
Efficiency
Information retrieval
Infrastructure
Internet access
Load balancing
Mobile ad hoc networks
Multiprotocol label switching
Network latency
Operating Systems
Packet transmission
Peers
Processor Architectures
Protocol
Queueing
Real time
Redundancy
Roads & highways
Roadsides
Transportation planning
Transportation services
Urban environments
Vehicles
Wireless networks
VANET
Road side units (RSU)
Load balancing
Geo-targeting
ISSN:1386-7857, 1573-7543
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Shrnutí:Vehicular Ad Hoc Networks (VANETs) play a critical role in ensuring safety and welfare applications for drivers and passengers amidst the escalating vehicular population in urban environments. The efficient functioning of VANETs hinges on addressing the challenge of load balancing among Road Side Units (RSUs). This paper introduces a groundbreaking approach aimed at enhancing real-time data transmission services within VANETs. The key contribution lies in the development of a multicast routing algorithm utilizing a geo-targeting protocol, facilitating simultaneous delivery of source data packets to multiple destinations. This innovative strategy aims to alleviate RSU congestion, thereby significantly enhancing the quality of real-time data transmission services. Moreover, this study presents advancements in the Statistical Match and Queuing algorithm, refining it over time to substantially mitigate network congestion and redundancy. Additionally, a Multi-Protocol Label Switching based algorithm is implemented to elevate service quality parameters, including end-to-end latency, packet loss, and overall network efficiency within in-vehicle networks. Importantly, this approach remains adaptable across various Layer two technologies, ensuring compatibility and scalability. Simulation results validate the efficacy of the proposed methodology, showcasing its superiority over existing methods. The findings underscore the innovative algorithms ’ prowess in addressing load balancing challenges across diverse scenarios, affirming their potential to significantly enhance VANET service quality.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
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content type line 14
ISSN:1386-7857
1573-7543
DOI:10.1007/s10586-024-04317-6