Cyber Physical Systems Dependability Using CPS-IOT Monitoring

Area of Science:

• Computer Science
• Systems Engineering

Background:

• Cyber-Physical Systems (CPS) are crucial for socio-economic challenges.
• Internet-of-Things (IoT) enhances CPS with sensing and actuation.
• IoT protocol impact on CPS dependability requires attention.

Purpose of the Study:

• To address Cyber-Physical System (CPS) dependability issues within IoT subsystems.
• To propose and analyze a novel CPS orchestration model.
• To introduce and evaluate an interference-aware clustering protocol for CPS-IoT.

Main Methods:

• Developed a CPS orchestration model incorporating inbound surveillance, outbound actuation, and an epidemic information diffusion model.
• Numerically analyzed the proposed model for dependability in various applications.
• Proposed and benchmarked the Interference-aware Network Migration Protocol (INMP) against existing IoT protocols.

Main Results:

• The proposed CPS orchestration model demonstrates improved dependability for sensitive and non-sensitive applications.
• The epidemic diffusion model effectively produces diffusion patterns across the CPS-IoT.
• The INMP protocol shows a positive impact on CPS dependability compared to other IoT protocols.

Conclusions:

• The novel CPS orchestration model enhances system dependability.
• The epidemic information diffusion model is effective for monitoring CPS-IoT dynamics.
• The INMP protocol offers a viable solution for interference-aware routing and network reconfiguration in CPS-IoT environments.