A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
Clustering-based re-routing framework for network traffic congestion avoidance on urban vehicular roads (2023)

Ali, M., Malik, A. W., & Rahman, A. U. (2023). Clustering-based re-routing framework for network traffic congestion avoidance on urban vehicular roads. Journal of Supercomputing, 79(18), 21144-2116. https://doi.org/10.1007/s11227-023-05455-1

JYU-tekijät tai -toimittajat

Julkaisun tiedot

Julkaisun kaikki tekijät tai toimittajat: Ali, Muhammad; Malik, Asad Waqar; Rahman, Anis Ur

Lehti tai sarja: Journal of Supercomputing

ISSN: 0920-8542

eISSN: 1573-0484

Julkaisuvuosi: 2023

Ilmestymispäivä: 19.06.2023

Volyymi: 79

Lehden numero: 18

Artikkelin sivunumerot: 21144–2116

Kustantaja: Springer

Julkaisumaa: Alankomaat

Julkaisun kieli: englanti

DOI: https://doi.org/10.1007/s11227-023-05455-1

Linkki tutkimusaineistoon: https://github.com/IhabMoha/datasets-for-VANET

Julkaisun avoin saatavuus: Ei avoin

Julkaisukanavan avoin saatavuus: 

Tiivistelmä

With advancing vehicular technology, there are challenges related to the computing capabilities of the deployed infrastructure. In a dense vehicular network, the system performance quickly degrades due to the scarcity of computing capacity and the heavy workload on the coordinating nodes. In situations of a road accident or slow-moving traffic, many trigger messages are generated to enable situational awareness. Aforesaid events may lead to network congestion across the vehicular environment resulting in higher packet loss. Moreover, emergency messages incur increased service delays rather than getting preference for servicing. In this work, we propose a clustering-based re-routing framework for network traffic congestion avoidance on urban vehicular roads. We use queue optimization to categorize and execute tasks based on their priority level at each fog node. Moreover, threshold-based congestion detection is used to determine congested nodes, which, alongside clustering-based suitable node selection, is used for workload sharing. Furthermore, a re-routing mechanism is implemented to decrease packet loss, improving the delivery rate. The simulation results show that the proposed technique is reliable, effective, and robust in terms of packet loss, throughput, and delivery of emergency messages.

YSO-asiasanat: rakenteettomat verkot; langaton tiedonsiirto; liikenne; tieliikenne; ajoneuvot; hätäilmoitukset; liikenteenohjaus; liikennetelematiikka

Vapaat asiasanat: vehicular network; congestion control; clustering; emergency messages

Liittyvät organisaatiot

OKM-raportointi: Kyllä

VIRTA-lähetysvuosi: 2023

JUFO-taso: 1