Congestion Control in Vehicular Ad-Hoc Networks (VANET’s): A Review

Giripunje, Lokesh M.; Masand, Deepika; Shandilya, Shishir Kumar

doi:10.1007/978-3-030-49336-3_26

Cited by 7 publications

(1 citation statement)

References 21 publications

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“…Open-loop control mechanism also known as proactive mechanism is implemented before the congestion event has been detected in network whereas close-loop control mechanism also called as reactive mechanism is used after the congestion occur in network to control the congestion [10], [11], [22], [25], [28]- [31].At that point, most researchers conduct congestion control approaches into five strategies on the basis of these approach. These strategies can be are categorized into (1) transmission rate-based strategy, (2) transmission power-based, (3) CSMA/CA-Based, (4) prioritization and scheduling-based, and (5) hybrid strategy [28], [29], [32], [33]. By taking into consideration factors such as packet service time, buffer occupancy, and channel traffic, the open-loop (proactive) control mechanism outperforms the close-loop (reactive) control mechanism [34].The common strategy in open-loop control mechanism for VANETs is prioritization and scheduling-based strategy.…”

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confidence: 99%

Enhanced Congestion Control Model Based on Message Prioritization and Scheduling Mechanism in Vehicle-to-Infrastructure (V2I)

Ismail

Hossain²,

Md.Noor³

et al. 2022

J. Phys.: Conf. Ser.

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Vehicular Ad Hoc Networks (VANETs) is an origination of Mobile Ad-Hoc Network (MANET), where road vehicles will distribute messages and provide safety alerts to notice hazardous circumstances to the drivers. One of its greatest challenges is ensuring Quality of Service (QoS) owing to channel sharing, high traffic and topology changes in VANETs. These challenges cause of degradation of network performance. Congestion control should be properly considered to improve the network performance and transmission message over VANETs. However, there seem significant limitations to most of the other current congestion control mechanisms. In this paper, an enhanced congestion control model based on prioritization and scheduling-based strategy is proposed. This strategy assigns priorities of the safety messages and non-safety messages based of the message type and network condition. Further, safety message can be classified into event-driven messages and beacon messages. At that point, all messages transmit into the appropriate queue based on their priority and schedule all messages in each queue. However, when new message enqueue, reschedule in each queue may cause additional unwanted delay to be processed cause of inefficient scheduling technique. Thus, an improved dynamic scheduling algorithm also proposed to schedule the messages in this circumstance.

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