Cross Layer Approach for Neighbor Node Selection in VANET Routing

The Internet of Vehicles is an upcoming prototype, one which has introduced cutting edge applications and facilities which require the fulfillment of a certain Quality of Service (QoS). Vehicular Ad Hoc Networks (VANETs) are the backbone for IoV, providing the support for autonomous inter-vehicle communication and road safety management. The communication in VANETS is challenging as they suffer from several issues due to their intrinsic features such as higher vehicle mobility, rapidly changing topology, etc. Hence the strategies adopted in the routing layer play an important role in the overall application performance. Conventionally, in VANETs routing protocol design, each layer of the model is optimized individually, which does not satisfy dynamic system conditions in VANETs and lags behind the acceptable Quality of Service (QoS) standards. In this paper, we propose to design a novel cross layer based reliable vehicular routing model (CL-RVR), to facilitate reliable routing in VANETs, that would cater to QoS requirements for desired applications by combining the parameters from physical and network layers. Extensive experimental simulations are used to analyze the key performance metrics.