Intermittent Data Dissemination Using Node Forwarding Capability Estimation in Vehicle Delay Tolerant Networks

Abstract

Recently, both the vehicle active safety service and the user infotainment service have become two core applications for vehicular delay tolerant networks (VDTNs). Both the core applications over VDTNs demand a high data transmission capacity. Additionally, the connection between any vehicle nodes in VDTNs is intermittent and opportunistic. The intermittent data dissemination is a more stringent and challenging issue than the full connectivity vehicular ad-hoc networks (VANETs). In this paper, we propose a data dissemination algorithm using node forwarding capability estimation (D2NFCE). For the first step, D2NFCE has to estimate the active connection time interval according to the moving directions and the velocities between any two vehicles. Secondly, the throughput function for VDTNs is fitted by building the wavelet neural network traffic model. Next, the throughput function within the effective connection time interval is integrated to obtain the forwarding capability estimation of the node. And then, the high efficiency routing algorithm for VDTNs is designed by the node forwarding capability estimation. Finally, D2NFCE is simulated on the opportunity network emulator (ONE). Experimental results show that the D2NFCE can greatly improve data dissemination efficiency, reduce the transmission delay, delay jitter and data packet loss rate compared with the state of the art.