Dynamic spectrum allocation algorithm for resolving channel conflict in cognitive vehicular networks

Abstract

A cognitive vehicle network is date from Vehicular Ad hoc Networks (VANET), which is proposed to solve the problem of control channel and spectrum scarcity in VANET. To resolve channel conflict problem in channel switching in vehicle network, a new dynamic spectrum allocation algorithm (DSAARCC) is proposed. When the vehicle user chooses the channel, to minimize the average delay under the condition of not reducing the average information loss rate, it is not only in accordance with the rank of channels, but also based on link quality. Simulation experiments show that compared with other existing classical channel allocation algorithms, the proposed spectrum allocation algorithm significantly reduces the end-to-end service delay and upgrades the throughput of the service channel. Network performance in cognitive vehicle network can be greatly improved, high speed communication of traffic safety information can effectively be guaranteed.