A Mobility-aware Human-centric Cyber-physical System for Efficient and Secure Smart Healthcare

Cyber-physical systems (CPS) have developed rapidly in recent years, contributing to an efficient integration between the cyber and physical worlds in intelligent and connected city environments. However, efficient mobility in a CPS is not well solved. Here, we present a prototype for a privacy-aware secure human-centric mobility-aware (SHM) model proposed and tested to analyze physical and human domains in IoT-based wireless sensor networks (WSNs). The proposed SHM model involves five modules: sensor advertisements, mobile sensor recruitment, load balancing, transmission guarantee, and privacy with data-sharing phases. The proposed model is also validated using an accurate testing method that involves software and hardware tools and mathematical modeling to confirm secure communication. The model provides a trade-off between energy efficiency and quality-of-service (QoS) requirements and compares the performance with other known models/protocols. Our testing process continued for four days, demonstrating that the SHM model provides compelling features of a secure cyber-physical system based on actual testing results. In practice, our model can be used in hospitals, as evident from validation in a real-life environment following the protocols.