An efficient infrastructure based service discovery in vehicular networks using P2P structures

Service discovery is known as one of the fundamental components in vehicular networks. Intelligent transportation systems performance improves by the availability of efficient service discovery solutions in vehicular networks. Nonetheless, some challenges such as network partitioning and vehicular congestion reduce the efficiency of these components. Additionally, most of the presented solutions are suffering from the low query success rate and high overhead of service information updates. A proper framework has been presented in this paper for the optimal service discovery in an urban area. Considering related framework, a binary integer programming model has been proposed for optimal infrastructure placement in urban areas and a peer-to-peer (P2P) network which is created on infrastructure nodes. The query success rate and overheads of updating service information improved by benefits of P2P network and infrastructure nodes. In framework evaluation, an Infrastructure-based location service discovery mechanism has been presented in urban areas. The simulation results showed an improvement in performance of the given solution in comparison with the most recent other solutions.