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