A Fuzzy approach for load balancing in Blockchain-based Software Defined Vehicular Networks

Abstract

Software Defined Vehicular Networks (SDVN) are increasingly being considered for vehicular communication sys-tems as they could provide both flexibility, programmability and improved performance. The SDVN control plane should be distributed between a set of SDN controllers managing specific geographical areas and network functions (load balancing, fire-wall, etc.) to ensure a high level of scalability. In this environment, the Blockchain technology could be used to guarantee the coordination of the different SDVN controllers. Therefore, many works have demonstrated the benefits of Blockchain-based SDVN architectures. However, they did not investigate the optimization of the underlying Blockchain network. That is why, in this paper, we propose a high-performance multi-level Blockchain architecture which could enable SDVNs to scale up. We also introduce a Fuzzy logic-based mechanism allowing the real-time reconfiguration of the Blockchain network depending on the actual SDVN requirements: traffic increase, integration of a new controller, etc. We finally demonstrate, through experimentation, the benefits of our approach compared to existing solutions in terms of latency, CPU, throughput and scalability.