Fuzzy logic controller based priority model for VANET scheduling

Abstract

Designing a reliable Vehicular Adhoc Network is challenging, due to the critical constraints in providing reliability with ensured data delivery and minimal latency simultaneously. Here, a fuzzy-based congestion control technique, to minimize latency and packet loss for high priority safety messages is proposed. Fuzzy logic is employed to provide multi-level priority assignment to the vehicles contending for channel access. Based on this priority, the queued messages in the Cluster Head are scheduled. NS-2 simulations prove that this technique improves the packet delivery and minimizes packet loss and channel access delay compared to cognitive radio based implementations at largely densed vehicular network.

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

“…The first one is open-loop control mechanism and the second one is closed-loop control mechanism. 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].…”

“…The Prioritizing and scheduling-based strategies control the congestion by assigning priority to the messages and scheduling them to get transferred in control and service channels. This enables the transfer of safety messages with less delay [31].…”