NAVI: Neighbor-Aware Virtual Infrastructure for Information Collection and Dissemination in Vehicular Networks

Abstract

Vehicular Networks enable a vast number of innovative applications, which rely on the efficient exchange of information between vehicles and often also with infrastructure. However, efficient and reliable data dissemination is a particularly challenging task in the context of vehicular networks due to the underlying properties of these networks, limited availability of network infrastructure and variable penetration rates for distinct communication technologies. This paper presents a novel system and mechanism for information collection and dissemination based on virtual infrastructure selection in combination with multiple communication technologies. The system has been evaluated using a simulation framework, involving network simulation in conjugation with realistic vehicular mobility traces. Simulation results show the feasibility of the proposed mechanism to achieve maximum message penetration in a geographical area with reduced overhead. The judicious vehicle selection also enables scalable data collection and leads to improved network utilization through the offload of traffic to the short-range network.

Towards efficient data collection mechanisms in the vehicular ad hoc networks

“…Local data will be reliably collected through this method, and it is very helpful to achieve data spatial relevance. d'Orey et al 85 have presented an approach for data collection and dissemination for VANET. In addition, it ensures efficient communication and accurate data recovery.…”

“…d'Orey et al 85 have presented an approach for data collection and dissemination for VANET. Transferring information from a central entity into a geographic area is the main aim of this mechanism, which is done by providing suitable uplink performance.…”

Nature-inspired metaheuristics for optimizing information dissemination in vehicular networks

“…Different aspects make this task challenging in VANETs [18]. One of the most promising approaches proposed so far to address this challenge is the use of Virtual Infrastructure (VI) [10,34], wherein vehicles are also used as infrastructure to increase the area of application and to reduce the deployment cost. The VI is composed of three phases: 1) some vehicles are selected as cluster-head (CH) to cover the broadcast area, 2) CH vehicles receive information from a central server through I2V, and 3) CH vehicles disseminate this information to nearby vehicles using V2V communications.…”

“…Based on the communication architecture for VANETs presented in [10] and called NAVI (Neighbor-Aware Virtual Infrastructure), in a previous work, Masegosa et. al [20] proposed a new approach to address the VI selection process, modelling it as the optimization of a Covering Location optimization Problem (CLP) [11].…”

“…To assess and compare the performance of the new methods and the new modeling approach, we use a real scenario consisting of 45 vehicles moving around in the downtown area of the city of Malaga in Spain. Apart from this, the proposed optimization algorithms are compared against two baseline algorithms, the GA proposed in [20] and the state-of-the-art approach for information dissemination presented in [10].…”