Abstract
The high-speed dynamics of nodes and rapid change of network topology in vehicular ad hoc networks (VANETs) pose significant challenges for the design of routing protocols. Because of the unpredictability of VANETs, selecting the appropriate next-hop relay node, which is related to the performance of the routing protocol, is a difficult task. As an effective solution for VANETs, geographic routing has received extensive attention in recent years. The Greedy Perimeter Coordinator Routing (GPCR) protocol is a widely adopted position-based routing protocol. In this paper, to improve the performance in sparse networks, the local optimum, and the routing loop in the GPCR protocol, the Weighted-GPCR (W-GPCR) protocol is proposed. Firstly, the relationship between vehicle node routing and other parameters, such as the Euclidean distance between node pairs, driving direction, and density, is analyzed. Secondly, the composite parameter weighted model is established and the calculation method is designed for the existing routing problems; the weighted parameter ratio is selected adaptively in different scenarios, so as to obtain the optimal next-hop relay node. In order to verify the performance of the W-GPCR method, the proposed method is compared with existing methods, such as the traditional Geographic Perimeter Stateless Routing (GPSR) protocol and GPCR. Results show that this method is superior in terms of the package delivery ratio, end-to-end delay, and average hop count.
Highlights
Since the advent of the car, driving safety has been a major concern in the field of transportation.Reducing traffic accident casualties usually involves two aspects: reducing the incidence of accidents by installing brake assist and electronic stability control systems in vehicles; and by installing protective equipment, such as seat belts and airbags, in vehicles to reduce the rate of casualties in the event of an accident
The W-Greedy Perimeter Coordinator Routing (GPCR) routing method proposed in this paper considers the distance from the target node and combines the node’s movement direction and density to design a weight calculation algorithm
The packet delivery rate is used to measure the reliability of routing protocols
Summary
Reducing traffic accident casualties usually involves two aspects: reducing the incidence of accidents by installing brake assist and electronic stability control systems in vehicles; and by installing protective equipment, such as seat belts and airbags, in vehicles to reduce the rate of casualties in the event of an accident. The rapid development of in-vehicle sensor technology has led to safety features such as blind-spot detection technology, lane departure detection technology, and forward collision warning technology. These innovations can help reduce the incidence of traffic accidents, but the measurement accuracy and reliability of sensors have certain limitations. In order to solve the shortcomings of sensors, many researchers have investigated Internet of Vehicle (IoV)
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