Position-based emergency message dissemination for Internet of vehicles

Abstract

With the advancement in communication technologies, Internet of vehicles presents a new set of opportunities to efficiently manage transportation problems using vehicle-to-vehicle communication. However, high mobility in vehicular networks causes frequent changes in network topology, which leads to network instability. This frequently results in emergency messages failing to reach the target vehicles. To overcome this problem, we propose a data dissemination scheme for such messages in vehicular networks, based on clustering and position-based broadcast techniques. The vehicles are dynamically clustered to handle the broadcast storm problem, and a position-based technique is proposed to reduce communication delays, resulting in timely dissemination of emergency messages. The simulation results show that the transmission delay, information coverage, and packet delivery ratios improved up to 14%, 9.7%, and 5.5%, respectively. These results indicate that the proposed scheme is promising as it outperforms existing techniques.

Emergency Message Dissemination in Vehicular Networks: A Review

“…There is a cluster head that is used to disperse the message to other clusters. Reference [51] has proposed a cluster-based message dissemination approach based on the position. Figure 6 shows Based on certain characteristics of a node in the cluster, it is selected as the cluster head which is responsible for the management of intra-cluster communication and to prevent interference with other nearby clusters.…”

Research on adaptive beacon message broadcasting cycle based on vehicle driving stability

“…40,41 In addition to the error of the positioning system itself, the data transmission delay and packet loss rate are also factors that can affect the position prediction error accuracy. 42 Generally, vehicles reduce the error of other vehicles' perception of their position by decreasing the broadcast cycle of the data, but it is impossible to make all the vehicles broadcast at a small cycle. 43 Therefore, this paper proposes an adaptive beacon message broadcasting cycle algorithm based on driving stability.…”

An urban expressway forwarding scheme for cognitive Internet of vehicles

“…The h(V i ) represents the ordinal number of V i . Equation (10) indicates that the expected hop from V i to V j is no more than the number of nodes between V i and V j . In equation (11), S i indicates the set of relay candidates of V i .…”