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 toimittajatAli, Muhammad; Malik, Asad Waqar; Rahman, Anis Ur

Lehti tai sarjaJournal of Supercomputing

ISSN0920-8542

eISSN1573-0484

Julkaisuvuosi2023

Ilmestymispäivä19.06.2023

Volyymi79

Lehden numero18

Artikkelin sivunumerot21144–2116

KustantajaSpringer

JulkaisumaaAlankomaat

Julkaisun kielienglanti

DOIhttps://doi.org/10.1007/s11227-023-05455-1

Linkki tutkimusaineistoonhttps://github.com/IhabMoha/datasets-for-VANET

Julkaisun avoin saatavuusEi 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-asiasanatrakenteettomat verkotlangaton tiedonsiirtoliikennetieliikenneajoneuvothätäilmoituksetliikenteenohjausliikennetelematiikka

Vapaat asiasanatvehicular network; congestion control; clustering; emergency messages


Liittyvät organisaatiot


OKM-raportointiKyllä

VIRTA-lähetysvuosi2023

JUFO-taso1


Viimeisin päivitys 2024-03-07 klo 01:45