A Mobility-Aware Human-Centric Cyber-Physical System for Efficient and Secure Smart Healthcare

Cyber-physical systems (CPSs) 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: 1) sensor advertisements; 2) mobile sensor recruitment; 3) load balancing; 4) transmission guarantee; and 5) 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 tradeoff 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 CPS 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.

Automated summary

CPS has seen rapid development in intelligent and connected cities, however, the issue of efficient mobility remains unresolved. In this study, we propose a privacy-aware secure human-centric mobility-aware (SHM) model and validate it through testing. The model strikes a balance between energy efficiency and QoS requirements and is compared to other models. The testing results demonstrate the compelling features of the secure CPS provided by the SHM model.