🤖 AI Summary
This study addresses the lack of effective lifecycle management for traffic events in existing vehicular networks, which hinders timely generation and efficient dissemination of event-related messages. To overcome this limitation, the authors propose a traffic event management framework tailored for vehicular ad hoc networks (VANETs), introducing a coordinated mechanism that spans the entire event lifecycle—from initial detection and reporting to multi-hop relaying. The framework differentiates relay behaviors between regular and official vehicles and incorporates a dual-mode relaying strategy based on hop count and time duration. Simulation experiments conducted on the VEINS platform demonstrate that the four-hop relaying strategy significantly improves event message coverage compared to a 60-second time-bound approach, thereby validating the proposed method’s superiority in both timeliness and dissemination efficiency.
📝 Abstract
Vehicular Ad Hoc Networks (VANETs) support the informationdissemination among vehicles, Roadside Units (RSUs), and a Trust Authority (TA). A trust model evaluates an entity or data or both to determine truthfulness. A security model confirms authentication, integrity, availability, nonrepudiation issues. With these aspects in mind, many models have been proposed in literature. Furthermore, many information dissemination approaches are proposed. However, the lack of a modelthat can manage traffic incidents completelyinspires this work. This paper details how and when a messageneeds to be generated and relayed so that the incidents can be reported and managed in a timely manner. This paper addresses this challenge by providing a traffic incident management model to manage several traffic incidents efficiently. Additionally, we simulate this model using the VEINS simulator with vehicles, RSUs, and a TA. From the experiments, we measure the average number of transmissions required for reporting a single traffic incident while varying the vehicle density and relaying considerations. We consider two types of relaying. In one series of experiments, messages from regular vehicles and RSUs are relayed up to four hops. In another series of experiments, messages from the regular vehicles and RSUs are relayed until their generation time reaches sixty seconds. Additionally, messages from the official vehicles are relayed when theyapproach an incident or when the incident is cleared. Results from the simulationsshow that more vehicles are informed with four-hop relaying than sixty-second relaying in both cases.