Accurate Close Contact Identification: A Solution Based on P-RAN, Fog Computing and Blockchain

The COVID-19 epidemic is rampant, affecting the normal life of people all over the world. It also has a sustained impact on the global economy, bringing global crises and challenges. In order to effectively prevent and control the epidemic situation and curb the further spread of COVID-19, the identification of close contacts has become a current research hotspot. The low accuracy, insufficient user privacy protection ability, and limited effectiveness have become important issues to be solved. In this paper, we propose a solution based on P-RAN, fog computing and blockchain to support accurate, safe and effective COVID-19 close contact identification. A three-layer accurate close contact identification architecture (ACCCD) is established by combining P-RAN, fog computing and blockchain. P-RAN and fog computing are combined to collect close contact information, and blockchain technology enables reliable, safe and automatic close contact information management and close contact track tracking. Based on ACCCD architecture, the blockchain network deployment scheme and accurate close contact identification process are designed, and the implementation potential and future challenges of this solution are analyzed and explained in detail. The application of ACCCD architecture in specific scenarios is described, and we design simulations to verify the effectiveness of the solution.