Abstract
Vehicular delay-tolerant networks are widely used in intelligent transport application. Vehicle nodes exchange and share various information in vehicular delay-tolerant networks. However, current delay-tolerant network routing algorithms do not take into account the dynamic characteristic of traffic flow, and they do not effectively resist cyber attacks, such as black hole attack. To address this issue, we propose a data dissemination mechanism for vehicular delay-tolerant networks. In this mechanism, we develop a combined model to estimate the real-time traffic density. Simultaneously, we propose the metrics which include node interaction dispersion, node interaction freshness, node interaction participation, and node interaction contribution to evaluate behavior of nodes. Based on these metrics, a routing method is constructed. In this routing method, a relay node is selected by evaluating communication interaction behaviors among vehicle nodes. Considering the factors of traffic flow density and communication behaviors of vehicle nodes, a message forwarding strategy scheme is built for different traffic density scenarios. Extensive simulations show that the proposed mechanism exhibits superior performance over existing methods in forwarding traffic information and alleviates negative effects from black hole attacks.
Highlights
With the wide application of intelligent transportation systems (ITS), vehicles in these networks can communicate with each other through vehicular ad hoc networks (VANET)
Compared with the existing works, our contributions can be summarized as follows: 1. We propose a combined model for estimating real-time traffic density, a very important metric of traffic flow that affects message forwarding
Based on analyzing communication behaviors of vehicle nodes, we propose a method of evaluating cognitive interaction of nodes to help select relay nodes
Summary
With the wide application of intelligent transportation systems (ITS), vehicles in these networks can communicate with each other through vehicular ad hoc networks (VANET). By considering traffic density and integrating multi-dimensional influence factors involving node behavior into the evaluation model, a data dissemination mechanism is proposed. It effectively improves the efficiency of message transmission and reduces network overhead. 3. Considering the characteristics of traffic flow and cognitive interaction of nodes, we design a routing protocol to ensure reliable forwarding of message stability. Considering the characteristics of traffic flow and cognitive interaction of nodes, we design a routing protocol to ensure reliable forwarding of message stability This protocol can effectively improve the forwarding efficiency of information in VDTN. We discuss the simulation experiment and analyze the results in the fourth section
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
More From: International Journal of Distributed Sensor Networks
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.