Context-Aware Communication for V2V Collision Avoidance Applications

The ultimate goal of Cooperative intelligent transportation systems (C-ITS) - zero fatality - necessitates the communication system be extremely intelligent, being able to make the best decision in selecting technologies, radio channels, communication protocols, and protocol parameters such that the road-safety application requirements are met. This work is interested in the framework of context-aware communication, which we believe a powerful solution to reach the challenging goal of C-ITS. In context-aware communications, C-ITS entities are aware of contexts, which can be application requirements, environmental condition, radio resources, and so on, and make intelligent decisions exploiting such contextual information. In this paper, we first introduce a context aware communication architecture, which consists of three main functional blocks: context acquisition, context reasoning, and system control. Targeting collision avoidance applications, we present a context-aware communication system, which establishes two types of contexts, one is application requirement and the other is resource availability. We then propose to express the application requirement by the minimum required packet delivery ratio, which can be derived from collision probability. Finally, we evaluate the performances of different Cooperative Awareness Service (CAS) schemes and compare them against the application requirement. The results show that periodic Cooperative Awareness Message (periodic-CAM) and reactive distributed congestion control (DCC) algorithms fail to meet the application requirement, while LIMERIC DCC meets the requirement for the evaluated scenario.