A Cluster-Based V2V Approach for Mixed Data Dissemination in Urban Scenario of IoVs

Abstract

Data dissemination in Internet of Vehicles (IoVs) is attracting more and more attention. However, few efforts have been made on mixed data dissemination in urban scenario. The rigid Quality of Service (QoS) requirements of Emergency Messages (EMs), the varied QoS tolerant degrees of Service Messages (SMs), and the complex transmission environment in urban scenario pose great challenges. In this paper, a Cluster-based Vehicle-to-Vehicle (V2V) approach for Mixed Data Dissemination (CMDD) is proposed to tackle the aforementioned challenges in urban scenario of IoVs. The proposed approach consists of two main algorithms: the bus-based clustering and the mixed data scheduling. To deal with the complex and harsh transmission environment in urban scenario, we propose to use buses, which have fixed driving routes and schedules as well as sufficient resources, to act as cluster heads. Meanwhile, multiple characteristics are deeply analyzed and artfully utilized in the design of the clustering algorithm, to achieve efficient data dissemination from buses to ordinary vehicles. To meet the rigid and personalized QoS requirements of EMs/SMs under stringent resources, a new priority calculation method is proposed and mixed data are scheduled accordingly. Simulation results show that the proposed approach achieves remarkable performance advantage in terms of data download delay, emergency warning ratio and service response ratio.