Learning Automata-Based Channel Reservation Scheme to Enhance QoS in Vehicular Adhoc Networks

摘要

The very high mobility of the nodes in Vehicular Adhoc Networks (VANET) increases the rate at which the handoff occurs. This motivates researchers to investigate the novel strategies for channel allocation such that the handoff becomes transparent. At the same time the utilization of the channels need to be effective in order to enhance the QoS. Hence this paper proposes a channel reservation procedure based on learning automata and node speed to improve the QoS in VANET. Channel reusability technique is incorporated to make the efficient usage of channels. The percentage of dropped calls and handoff latency are used as metrics to evaluate the proposed method.